GitHub topics: vader-sentiment-analysis
noob-cracker100/data-analysis-portofolio
Analysis Sentiment
Size: 1000 Bytes - Last synced at: about 4 hours ago - Pushed at: about 6 hours ago - Stars: 0 - Forks: 0
Mehtab00007/Country-Explorer
Country Explorer is a web application that lets you explore countries worldwide using free public APIs. Discover each nation's name, flag, and detailed information with simple filtering options. 🗺️🌍
Language: HTML - Size: 24.4 KB - Last synced at: about 9 hours ago - Pushed at: about 11 hours ago - Stars: 0 - Forks: 0
Gtserviz/Sentiment-Analyzer
🚀 Analyze sentiment in real-time and receive emoji recommendations to enhance communication clarity and engagement.
Language: Python - Size: 1.31 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0
Geezam/NewsSentiment
A Python project that scrapes news headlines from RSS feeds, performs sentiment analysis using Vader, and generates a static HTML report that can be automatically deployed to Netlify.
Language: Python - Size: 19.5 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0
pcatarino88/banking_app_reviews
Analysis customer reviews on Google Play Store of 6 banking apps in the UK understanding customer sentiment and mapping main reasons for (dis)satisfaction.
Language: Jupyter Notebook - Size: 384 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0
twdouglas2000/Text-Analysis-Nintendo-Switch-2-Subreddit-
Nintendo Switch 2 Subreddit Text Analysis
Language: HTML - Size: 385 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 1 - Forks: 0
alpturkoral/Vader_sentiment_visualizer
Sentiment analysis project using VADER and matplotlib, developed in Google Colab with real-time classification and visualization.
Language: Jupyter Notebook - Size: 15.6 KB - Last synced at: 18 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
nusretipek/VaderSentiment.jl
VaderSentiment is implementation of VADER sentiment analysis tool in Julia language.
Language: Julia - Size: 146 KB - Last synced at: 23 days ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 0
asad70/reddit-sentiment-analysis
This program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value.
Language: Python - Size: 110 KB - Last synced at: 30 days ago - Pushed at: over 2 years ago - Stars: 272 - Forks: 97
oshinrathor/ML-NLP-Projects
This repository contains a collection of Machine Learning and NLP projects, including sentiment analysis with NLTK, text preprocessing, and deep learning models. It covers techniques like tokenization, stopword removal, lemmatization, rule-based analysis, and transformer models like BERT for practical NLP applications.
Language: Jupyter Notebook - Size: 2.85 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 0
puddup/vader-sentiment-cpp
vader-sentiment-cpp is a C++ port of the Python NLTK Vader Sentiment Analyzer, optimized for speed and efficiency. This implementation offers a streamlined version of the original Python library, retaining the core sentiment analysis capabilities but with fewer features for a faster, more performance-oriented experience.
Language: C++ - Size: 5.5 MB - Last synced at: 4 days ago - Pushed at: 12 months ago - Stars: 4 - Forks: 0
Yash49hdfmj/NLP-Project-Amazon-Reviews-Sentiment-Analysis
Amazon fine food reviews sentiment analysis using NLP | Vader | RoBERT Model
Language: Jupyter Notebook - Size: 1.61 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
SarveshKanneganti/Social-Media-Sentiment-Engagement-Analytics-Twitter-US-Airlines-
This project, Social Media Sentiment & Engagement Analytics, is a deep dive into the world of NLP. By applying tools like VADER and TextBlob, I've analyzed thousands of tweets to uncover key insights about customer sentiment and brand performance for major US airlines. The work highlights my ability to build end-to-end data-driven solutions.
Language: Jupyter Notebook - Size: 2.21 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
sasank484/social-sentiment-pipeline
End-to-end data pipeline to collect and analyze YouTube comments about a brand (e.g., Verizon). Built with C++ for ingestion, Python for transformation + sentiment scoring, and Power BI for dashboarding. This project demonstrates real-world ETL skills with meaningful business insights.
Language: C++ - Size: 243 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
Abrar2652/Romantic-Relationship-Love-Data-Analysis-using-Python
Facebook text messages and media data analysis using Python of a couple. The in-depth analysis of the data provides insights into the relationship pattern, strength, average messages, engagement, efforts, and so on. This research provides useful information suggesting the positive changes required to maintain a healthy relationship. It also shows the constraints of using this data and the limitations of this analysis.
Language: Jupyter Notebook - Size: 1.54 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0
Abrar2652/Detecting-sentiments-of-a-quote
HackerEarth Machine Learning challenge: Love is love competition submission [Position: 31st]
Language: Jupyter Notebook - Size: 41 KB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
KailashSatkuri-warangal/Customer_entiment-Analysis
few dataset can calculate hrow the parameters of there products to give analysis of data by products
Language: Python - Size: 14.7 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
simwai/finance-news-crawler
Finance News Crawler uses News API to fetch some latest articles and generates a sentiment report with the OpenAI API or VADER
Language: JavaScript - Size: 161 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 11 - Forks: 3
sokritha-dev/think-nlp
An educational web application designed to help beginners in Natural Language Processing understand the full pipeline of sentiment and topic analysis using real world review data
Language: Python - Size: 46.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
alyssarose05/stock-tweet-analysis
A stock, sentiment, and emotional analysis with machine learning techniques on tweets with the topic "stock market."
Language: Jupyter Notebook - Size: 1.04 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
Mandi-ota/Tesla_Stock_Analysis
🐙 Tesla_Stock_Analysis simulates Tesla financial and stock data (2015–2024), stores datasets via Azurite/MySQL, and analyzes KPIs with Python, SQL and Power BI.
Language: Python - Size: 2.65 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
zodakzach/yt-comments-ai-analyzer
Web app that fetches YouTube comments from a given video URL, summarizes them with GPT‑5‑mini, indexes them for similarity search, and lets you chat with an AI about the insights
Language: CSS - Size: 2.27 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
Korosh-Rajaei/BSc-Thesis
Capturing Cross-Cultural Political Schemas: A Computational Analysis of Northern and Southern European Parliamentary Debates.
Language: Jupyter Notebook - Size: 157 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
eceyy/BritishAirways-ExaminingCustomerBuyingBehavior
Language: Jupyter Notebook - Size: 5.34 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
wiqilee/crypto-sentiment-dashboard
Real-time crypto news sentiment dashboard using NewsAPI + VADER. Analyze BTC/ETH/SOL trends, visualize with Plotly/Matplotlib, export PDF.
Language: Python - Size: 22.5 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
nakuleshj/news-nlp-pipeline
A fully serverless, event-driven data pipeline that ingests, enriches, validates, and visualizes real-time news data using AWS services. Designed for cost-efficient, scalable deployment using only free-tier AWS services.
Language: Python - Size: 112 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 9 - Forks: 2
comp0031-airbnb-shared-private/comp0031-airbnb-sentiment-analysis
Perform sentiment analysis using VADER and forecast future sentiment with Prophet.
Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
AiCure/open_dbm
Tool for measurement of digital biomarkers from video or audio of an individual’s behavior.
Language: Python - Size: 810 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 67 - Forks: 26
HarshiSharma04/BrandAudit
A real-time sentiment analysis tool that collects and analyzes data from Twitter, Reddit, and YouTube using NLP techniques to help brands track public perception.
Language: Python - Size: 23.5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
Gialammvp/stock_analyzer
Analyze stocks with our Python-based platform using akshare and talib. Get insights with MACD, RSI, KDJ, and more. 📈📊
Language: HTML - Size: 906 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
ChiragAJain/Twitter-X-Sentiment-Analysis
Sentiment Analysis of posts made on X(Formerly Twitter) during the COVID-19 pandemic in 2021.
Language: Jupyter Notebook - Size: 19.8 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
hangngdata/hospital_reviews_sentiment_analysis
Sentiment analysis of hospital reviews on Google Maps using web scraping and NLP
Language: Jupyter Notebook - Size: 24.2 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
tanujgupta18/Sentiment-Analysis-of-Amazon-Reviews
Sentiment analysis of Amazon customer reviews using VADER and RoBERTa Transformers. Compares the results of both approaches to understand their differences and insights.
Language: Jupyter Notebook - Size: 2.55 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
kalbun/GENIS
Explainable grading algorithm for e-commerce reviews
Language: Python - Size: 484 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
williakn3/Mental-Health-Sentiment-Chatbot
This project aims to provide insights into users' mental health states based on their textual statements. By leveraging machine learning and natural language processing techniques, we can predict and analyze mental health statuses to offer valuable support and guidance.
Language: Jupyter Notebook - Size: 111 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
anudeepvanjavakam1/lit_or_not_on_reddit
This app searches reddit posts and comments to determine if a product or service has a positive or negative sentiment and predicts top product mentions using Named Entity Recognition
Language: Jupyter Notebook - Size: 33.1 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0
Akashsanthosh001/Chatbot-Project
An AI-powered chatbot using NLP and machine learning with weather, news, reminders, and smart responses.
Language: Python - Size: 298 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
kashimkyari/streamGuard-AI-Live-Stream-Detection-Module
AI-powered live stream monitoring system with real-time content detection. Uses YOLOv8 computer vision and Whisper audio processing for automated moderation across streaming platforms. Python-based with multi-stream support.
Language: Python - Size: 5.56 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
Abdiasarsene/Employee-Emotion-Analysis
The goal is to identify dominant emotions (stress, satisfaction, frustration, etc.) and provide recommendations to improve workplace quality of life.
Language: Jupyter Notebook - Size: 2.35 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
suraj5424/Whatsapp-Chat-analyser
A Streamlit web app that analyzes WhatsApp chats to uncover insights like activity trends, sentiment, word clouds, emoji usage, and more—just upload your exported .txt file!
Language: Python - Size: 0 Bytes - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
apanimesh061/VaderSentimentJava
Java port of Python NLTK Vader Sentiment Analyzer. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
Language: Java - Size: 2.91 MB - Last synced at: 4 months ago - Pushed at: almost 3 years ago - Stars: 64 - Forks: 30
abbbbbv/crypto-sentiment-analyser-indicator
analyses sentiment using natural language processing (VADER) from recent reddit,twitter posts and returns a score.
Language: Python - Size: 18.6 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0
MehulSarup/Airlines_Sentiment_Analyzer
Sentiment Analyzer for the customers reviews of British Airways
Language: Jupyter Notebook - Size: 3.07 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 1
shirosaidev/stocksight
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
Language: Python - Size: 3.03 MB - Last synced at: 6 months ago - Pushed at: almost 2 years ago - Stars: 2,283 - Forks: 475
Abhishek-K-Anand/FUTURE_DS_01
Explore the world of emotions hidden in social media buzz -Sentiment analysis of social media posts using VADER for decoding global emotions through NLP and Python.
Language: Jupyter Notebook - Size: 5.96 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
hritankarcode/Flipkart-Review-Scraper-and-Sentiment-Analyzer
This project scrapes customer reviews of the Apple iPhone 13 (Green, 128 GB) from Flipkart, performs sentiment analysis using VADER, and visualizes review text using a WordCloud.
Language: Python - Size: 373 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
Frenzy117/Senti
A very, very, VERY basic Natural Language Processing (NLP) application that analyzes public sentiment on Reddit (for now) about newly released songs.
Language: Python - Size: 28.3 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
tvercamer/VUB-masterproef-YouTube-UvVl
De gebruikte code bij mijn masterproef aan de VUB (Bedrijfskunde)
Language: Jupyter Notebook - Size: 4.61 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
shyamal-bhatt/GoodReads-Sentimental-Analysis
Performing a Sentimental Analysis on the reviews of books taken from goodreads.com. Built a web scrapper for the website, to scrape the basic details of book, author and reviews. Used VADER for the sentiment analysis.
Language: Jupyter Notebook - Size: 574 KB - Last synced at: 5 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
Sam120204/Fin4All
Fin4All is an all-in-one investment assistant that democratizes access to real-time stock analysis, sentiment-driven insights, and personalized investment recommendations for investors of all experience levels.
Language: Python - Size: 2.15 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 2
Jivan052/Sentiment-Analysis
Sentiment Analysis | Make things more visual & predictable
Language: Python - Size: 11.7 KB - Last synced at: 19 days ago - Pushed at: 7 months ago - Stars: 1 - Forks: 1
DemetersSon83/Spacy-Affect-Model
A Spacy model for measuring emotional affect.
Language: Python - Size: 6.88 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 2
Prajwal10031999/Sentiment-Analysis-ML-Flask-App
A machine learning end to end flask web app for sentiment analysis model created using Scikit-learn & VADER Sentiment.
Language: Python - Size: 1.88 MB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 27 - Forks: 23
KwokHing/SentimentAnalysis-Python-Demo
Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the performance of both lexicon & machine-learning based models
Language: Jupyter Notebook - Size: 11.9 MB - Last synced at: 4 months ago - Pushed at: about 3 years ago - Stars: 14 - Forks: 11
factaxd/Twitch-Chat-Emote-Analyzer
Real-time Twitch chat analysis application using Python (FastAPI, NLTK, VADER) for backend processing and React (TypeScript, WebSockets) for frontend visualization. Analyzes sentiment, keywords, and emotes (Twitch, FFZ, 7TV)
Language: Python - Size: 68.3 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0
rajputpritesh1/flipkart-review-sentiment-analysis
A simple web app for analyzing Flipkart-style reviews using VADER sentiment analysis. Built with Flask, Bootstrap, and Chart.js to display real-time sentiment scores with visualizations.
Language: Jupyter Notebook - Size: 716 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
WalterCordeiroGuilhermino/Projeto-Analise-de-Produtos-e-Experiencia-Consumidor
Este projeto cobre o processo de modelagem de dados, e criação de dashboard.
Language: Python - Size: 1.08 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
vatsalmehta2001/crypto_analytics_platform
<work in progress>
Language: Python - Size: 39.6 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
cjunwon/Youtube-Data-Analysis
End-to-end Youtube data analysis project using Youtube Data API, MySQL, AWS, Flask
Language: HTML - Size: 4.44 MB - Last synced at: 4 months ago - Pushed at: 10 months ago - Stars: 3 - Forks: 0
DS-Python-programmers-Spectrum/Flipkart-Sentimental_Analysis-App
The Flipkart Sentiment Analysis project aims to analyze customer reviews of Flipkart products using Natural Language Processing (NLP) and visualize insights through a Streamlit-based web application. This system will classify customer feedback as positive, negative, or neutral
Language: Jupyter Notebook - Size: 1.74 MB - Last synced at: 5 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
geetisha/Web-Scraping-and-Sentiment-Analysis
Web Scraping and Sentiment Analysis
Language: Jupyter Notebook - Size: 41 KB - Last synced at: 15 days ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0
aravindvnair99/Spot-the-Hole
Fully autonomous and intelligent platform to detect, monitor and manage potholes issues. An end-to-end system with a PWA front-end for users to report potholes and government authorities to track and manage them.
Language: HTML - Size: 64.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 8 - Forks: 4
Sujith-DA279/TurtleGames_Prediction_Analysis
An in-depth analysis of a gaming retailer's customer data to improve overall sales performance through enhanced understanding of customer behavior and loyalty patterns.
Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
PratikAgarwalla/sentiment-analysis-youtube
The YouTube Comment Sentiment Analysis App analyzes the sentiment of comments on a given YouTube video. It helps users understand whether viewers are reacting positively, negatively, or neutrally to a video. This can be useful for content creators, marketers, and businesses to gauge audience reactions and feedback effectively.
Language: Python - Size: 11.7 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
pngo1997/Chicago-Airbnb-Hybrid-Recommender-System
Develops a hybrid recommender system for Chicago Airbnb listings using data from Inside Airbnb.
Language: Jupyter Notebook - Size: 30.9 MB - Last synced at: 5 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0
anushkundu/AI-Powered-Personalized-News-Aggregator
AI-Powered Personalized News Aggregator
Language: Jupyter Notebook - Size: 683 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
pngo1997/New-York-City-Airbnb-Recommender-System
Collaborative project of Content-based recommender system development of NYC Airbnb.
Language: Jupyter Notebook - Size: 33.3 MB - Last synced at: 6 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
somebody1880/Social-Media-Sentiment-Analysis
Social media sentiment analysis using tweets involves analyzing tweet data to determine public sentiment (positive, negative, or neutral) using natural language processing (NLP) and machine learning techniques.
Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
AubainMbk/Analyse-des-Avis-Clients-Amazon
Utiliser l’analyse des sentiments et le clustering sur des avis Amazon à des fins de marketing et de satisfaction des clients.
Language: Jupyter Notebook - Size: 572 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
asenacak/sentiment-analysis-steam-reviews
Language: Jupyter Notebook - Size: 2.88 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
PMDOUGLAS23/Customer-Reviews-Analysis
Data Science Project : Supply Chain - Satisfaction des clients. Prédire la satisfaction client à partir des commentaires. De ces commentaires, identifier les catégories de sujets problématiques A partir des commentaires clients, être capable d’automatiser une réponse Détection du sentiment client : positif, neutre ou négatif
Language: Jupyter Notebook - Size: 54 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
SiddarthaBoreddy/socialmedia-datascience-pipeline
Python NLP pipeline for sentiment analysis & hate speech detection using Flask, PostgreSQL, and Matplotlib. It processes Reddit & YouTube data, applies VADER sentiment analysis, and visualizes trends via an interactive dashboard with date-based filtering.
Language: Python - Size: 36.1 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
Gabya06/sentiment_analysis_glassdoor
Sentiment Analysis on glassdoor.com data science jobs
Language: Jupyter Notebook - Size: 929 KB - Last synced at: 5 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0
drleniaw/data-analysis-portofolio
Analysis Sentiment
Language: Jupyter Notebook - Size: 450 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0
gopireddy99/Sentiment_Analysis_NLP
Basics and simple sentiment analysis using sample dataset and VADER Sentiment Analysis in NLP
Language: Jupyter Notebook - Size: 771 KB - Last synced at: 7 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
tianw52/sentiment_analysis
sentiment analysis on Amazon review using Vader, Bert, and Roberta
Language: Jupyter Notebook - Size: 131 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
asaficontact/learning_to_beat_the_random_walk
In this project, I explore various machine learning techniques including Principal Component Analysis (PCA), Support Vector Machines (SVM), Artificial Neural Networks (ANN), and Sentiment Analysis in an effort to predict the directional changes in exchange rates for a list of developed and developing countries.
Language: TeX - Size: 147 MB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 10 - Forks: 10
AshwinSomi/News-Analyzer
Analyzes the news on the internet by a said news publisher on its emotion using sentiment analyzer by scraping news from internet.
Language: Python - Size: 115 KB - Last synced at: 8 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
Yukigeshiki/sentiment-analysis-cli-rust
A CLI tool to perform simple sentiment analysis written in Rust, using a Rust port of VADER.
Language: Rust - Size: 91.8 KB - Last synced at: 7 months ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 1
bugthesystem/Sentiment
Sentiment analysis using VADER in Scala
Language: Scala - Size: 102 KB - Last synced at: 14 days ago - Pushed at: over 8 years ago - Stars: 9 - Forks: 4
karlyndiary/Amazon-Sentiment-Analysis-EDA
Amazon Customer Reviews Sentiment Analysis utilizing Python for Data Extraction and Pre-Processing, with real-time data from the Amazon API and Tableau for dashboard visualizations.
Language: Jupyter Notebook - Size: 3.76 MB - Last synced at: 8 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
violetto-rose/BhaavChitra
A sentiment analysis tool built using natural language processing techniques, integrating models like BERT and VADER to analyze text and provide sentiment analysis results.
Language: JavaScript - Size: 59.7 MB - Last synced at: 4 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
YVandana/Sentiment-Analysis-on-Amazon-Reviews
Performing Sentiment Analysis on Amazon Reviews using VADER & Roberta via Hugging Face
Language: Jupyter Notebook - Size: 1.82 MB - Last synced at: 9 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
lasyakonduru/Web-app-for-Sentiment-Analyzer-A-Comprehensive-Tool-for-Analyzing-Text-and-Dataset-Sentiments
A powerful and user-friendly tool for analyzing sentiments in text and datasets. This app leverages advanced sentiment analysis techniques to provide real-time insights, helping users classify text as Positive, Negative, or Neutral, and visualize sentiment trends for better decision-making.
Language: Python - Size: 288 KB - Last synced at: 5 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
knuppe/vader
A powerful golang re-implementation of the VADER (Valence Aware Dictionary and sEntiment Reasoner) for sentiment analysis.
Language: Go - Size: 635 KB - Last synced at: 10 months ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 1
munavarhs/RedditDataAnalysis
Discover underlying themes within Reddit posts using Latent Dirichlet Allocation (LDA)
Language: Jupyter Notebook - Size: 1.95 MB - Last synced at: 2 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
FluveFV/StrangersOnYoutube
This repository has two goals: reproducible and interpretable results. It is also meant to be delivered to be evaluated as part of the exam on Computational Social Science introductory course in University of Trento, Sociology Department, Master's degree in Data Science.
Language: Jupyter Notebook - Size: 1.14 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
tushkr3/Oppenheimer-Movie-Reviews-Sentiment-Analyisis
This repo. contains the Sentiment Analysis of Oppeheimer reviews loaded by web scraping using BeautifulSoup
Language: Jupyter Notebook - Size: 5.95 MB - Last synced at: 8 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
LinaBlijlevenHU/SteamTools
Leuke tools als extra's voor je Steam Project :D
Language: Python - Size: 60.5 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
Yash22222/TERRORIST-ACTIVITY-FORECASTING-AND-RISK-ASSESSMENT-SYSTEM
In an era marked by global security challenges, the "TAFRAS" emerges as a cutting-edge solution to tackle the ever-evolving threat of terrorism. The project is grounded in the urgent need for predictive systems that can anticipate, assess, and mitigate potential terrorist activities.
Language: HTML - Size: 31.6 MB - Last synced at: 9 months ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0
NemesLaszlo/Sentiment-Analysis-and-Stock-Values
Sentiment analysis of economic news headlines and examining their effects on stock market changes without the full article or analysis. Awareness and click generation are important roles for business news headlines as well. The effect can be demonstrated.
Language: Jupyter Notebook - Size: 8.09 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 7
sayande01/Amazon_Review_Sentiment_Analysis
This project is a tutorial on sentiment analysis in Python, using two approaches: VADER and the transformer-based RoBERTa model from Hugging Face. The Jupyter Notebook guides you through data preprocessing, model implementation, and result interpretation, showcasing traditional and advanced NLP techniques for sentiment analysis.
Language: Jupyter Notebook - Size: 896 KB - Last synced at: 7 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
tomisi/Twitter-Sentiment-Analysis
Language: Jupyter Notebook - Size: 4.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
abhy-kumar/NLPulse
This program aims to give a sentiment score to each headline featured in today's top stories. Eventually it aims to gather insights about the top headlines being reported.
Language: Jupyter Notebook - Size: 892 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
sukanyadutta52/Sentiment-Analysis
An Analysis of How Machine Perceives Women and How Women Feel about Themselves As a Result of This Perception: Sentiment Analysis
Language: Jupyter Notebook - Size: 187 KB - Last synced at: 8 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
rose-deasha/Topic-Modeling-and-Sentiment-Analysis
Survey Insights Engine
Language: Jupyter Notebook - Size: 1.68 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
tj2904/pp-api
An API providing sentiment-scored news for PositivePress using the Vader NLP algorithm. A consuming frontend can be found at: https://github.com/tj2904/positive-press
Language: Python - Size: 66.4 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
vishnu-vamshii/YouTube-Comments-Sentiment-Analysis-for-Views-Prediction
This project analyzes YouTube video data to extract comments and perform sentiment analysis on the most liked, disliked, and random videos. It leverages Google API to collect comments, followed by regression modeling using Random Forest, Ridge, and K-Nearest Neighbors to predict video metrics based on sentiment.
Language: Jupyter Notebook - Size: 1.63 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1
justinhchae/stocks
Sentiment Analysis for Stock Prediction
Language: Python - Size: 4.48 MB - Last synced at: 6 months ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 4
HiresH9/Sentiment-Analysis
Sentiment Analysis is a natural language processing (NLP) technique used to determine the sentiment expressed in a piece of text. The goal is to analyze and categorize the emotions conveyed by the text, typically into categories such as positive, negative, or neutral. This process can help businesses understand customer opinions
Language: Jupyter Notebook - Size: 3.37 MB - Last synced at: 18 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
