vader-sentiment-analysis | Topic

Topic: "vader-sentiment-analysis"

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

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: about 1 month ago - Pushed at: over 2 years ago - Stars: 272 - Forks: 97

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

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

nimaeskandary/vaderSentiment-js

JavaScript port of VADER sentiment analysis tool

Language: JavaScript - Size: 240 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 30 - Forks: 22

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: 6 months ago - Pushed at: over 4 years ago - Stars: 27 - Forks: 23

Sanghamitra1234/Major-Project-2019

This is our final year project. In this we are predicting election, results using Twitter Sentiment Analysis.

Language: Python - Size: 9.07 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 25 - Forks: 10

jpmondoni/instagram_explorer

:camera: An app to scrap instagram posts and analyze data.

Language: Python - Size: 616 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 18 - Forks: 5

aahouzi/Stock-price-forecasting

An overview of various quantitative techniques and trading strategies for predicting stock prices, based on historical data from YahooFinance.

Language: Jupyter Notebook - Size: 5.86 MB - Last synced at: 8 months ago - Pushed at: over 3 years ago - Stars: 15 - Forks: 2

myounus96/stock-market-prediction-using-sentiment-analysis

stock market predictions using sentiment analysis, a deep learning project(data and news based on pakistani stock exchange and news(Dawn news))

Language: Jupyter Notebook - Size: 4.19 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 15 - Forks: 20

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

Alro10/twitter-sentiment-live

Sentiment analysis for tweets written in Portuguese-Brazil

Language: Python - Size: 238 KB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 4

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

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

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

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

bugthesystem/Sentiment

Sentiment analysis using VADER in Scala

Language: Scala - Size: 102 KB - Last synced at: 23 days ago - Pushed at: over 8 years ago - Stars: 9 - Forks: 4

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

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: 8 months ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 1

ajyuan/Monitori

A Discord sentiment analysis bot that encourages positivity and rewards server members for saying nice things :). Built using Node.js and Discord.js

Language: JavaScript - Size: 19.6 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 3

ksaravan910/TwitterBotDetectionAndClassification

Detects bots from a small subset of Twitter accounts and classifies them as positive, negative or neutral by the sentiment of their tweets.

Language: Python - Size: 1.69 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 8 - 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

namas191297/instaknow_backend

Analyse sentiments of Instagram users based on their post captions

Language: Python - Size: 11.7 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 8 - Forks: 1

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

rishikonapure/Cryptocurrency-Sentiment-Analysis

A Real-Time Cryptocurrency Price and Twitter Sentiments Analysis

Language: Jupyter Notebook - Size: 5.35 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 7 - 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: 11 months ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 1

ramtiin/Predicting-YouTube-Dislikes-using-Machine-Learning

I used Catboost for training a model on the numerical features of every YouTube video (e.g., the number of views, comments, likes, etc.) along with sentiment analysis of the video descriptions and comments using the VADER sentiment analysis model.

Language: Jupyter Notebook - Size: 55.4 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 0

BenSchr/Twitterstream-Sentiment-Analysis

Reading the Twitterstream from the Twitter-API with Kafka and stream them into an Spark-Cluster to process it

Language: Python - Size: 371 KB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 7 - Forks: 3

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

fcorowe/stigma_covid

This repository contains the relevant data and code to replicate the analysis and results reported in the paper "Using Twitter to Track Immigration Sentiment During Early Stages of the COVID-19 Pandemic"

Language: Jupyter Notebook - Size: 12.1 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 1

rahatzamancse/Bangla-or-Banglish-or-English-Sentiment-Analysis-with-English-translation

Banglish -> Bangla (With avro phonetic) -> English (With textblob translator) -> Sentiment

Language: Python - Size: 958 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 3

apanimesh061/elasticsearch-sentiment-plugin

Ingest Plugin for VADER Sentiment Analysis

Language: Java - Size: 32.2 KB - Last synced at: 7 months ago - Pushed at: about 8 years ago - Stars: 6 - Forks: 3

Athiban-32/twitter-sentiment-analysis

Sentiment Analysis of Lockdown in India During COVID-19:A Case Study on Twitter

Language: Jupyter Notebook - Size: 13.3 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 0

nusretipek/VaderSentiment.jl

VaderSentiment is implementation of VADER sentiment analysis tool in Julia language.

Language: Julia - Size: 146 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 0

anshul1004/LiveTwitterSentimentAnalysis

Live sentiment analysis of tweets using Kafka

Language: Python - Size: 4.63 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 1

sayakpaul/Data-Science-Tweets-Analysis

Byte sized analysis of Data Science Tweets

Language: Jupyter Notebook - Size: 138 KB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 5

Dkreitzer/Twitter_Scraping_and_Saving

Jupyter Notebook with code to help scrape, analyze, organize, and save tweets in CSV files

Language: Jupyter Notebook - Size: 314 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 7

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: 14 days ago - Pushed at: 12 months ago - Stars: 4 - Forks: 0

fcorowe/twitter_migatittudes

This repository contains the relevant data and code to replicate the analysis and results reported in our Chapter "Using Twitter Data to Monitor Immigration Sentiment", Harnessing Data Innovation for Migration Policy: A Handbook for Practitioners published by International Organization for Migration.

Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1

Praveen2812git/YoutubeCommentScrapingandAnalysis

Application made for youtube content creators to know their reviews separately as positive and negative comments.

Language: Python - Size: 26.1 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 3

HenriqueAssumpcao/SentiMentalHealth

Pytorch implementation of a GRU-based RNN for Sentiment Analysis in Mental Disorder Online Communitites.

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 3

nav727/Realtime-Twitter-Sentiment-Analysis

Realtime Twitter Sentiment Analysis

Language: Python - Size: 908 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1

helemanc/drugs-reviews-sentiment-analysis

Text Mining project about Sentiment Analysis of Drugs Reviews.

Language: Jupyter Notebook - Size: 939 KB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 3

aksharbarchha/Only-for-Youtubers

Sentiment Analysis of Youtube Video Comments using Youtube Data Api

Language: Python - Size: 191 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 2

Hishok/Impact-of-News-Headlines-on-Stock-Indices

Investigate the impact of general news headlines on Stock Indices

Language: HTML - Size: 4.61 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 2

giuetr/finsent

Extract sentiment of every US public company from financial news headlines

Language: Python - Size: 38.1 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 0

nj2610/OpinionMining_Vader

Twitter Sentiment Analysis or Opinion Mining using the NLTK Vader

Language: Jupyter Notebook - Size: 9.77 KB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 4 - Forks: 1

Tomjg14/Reddit-crawler

This repository is on the collection of comments from Reddit and how to work with those comments to perform sentiment analysis.

Language: Python - Size: 86.9 KB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 4 - Forks: 1

mengjie514/Twitter-Sentiment-Analysis-with-Python---Part-IV

PhD project - part IV

Language: Jupyter Notebook - Size: 276 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 1

4m4n5/News-Sentiment-Analysis

A model to analyze the trends in sentiment of editorial and opinion articles, relating to any topic of current media discussion.

Language: Jupyter Notebook - Size: 971 KB - Last synced at: over 1 year ago - Pushed at: over 8 years ago - Stars: 4 - Forks: 5

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

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

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: 3 months ago - Pushed at: almost 5 years ago - Stars: 3 - 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

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

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: 6 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

shreyansh-2003/Marketplace-Product-Scraper-Sentiment-Analyzer

This is an nlp, web-scrapping based ML capstone project, that allows users to retrieve datasets of the products listed on flipkart and amazon for the given product. Further, Sentiment Analysis can also be performed on the comments/reviews.

Language: Python - Size: 21.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

BlueFlame202/darth-vader-py

An extension of VADER Sentiment Analysis. Valence Aware Dictionary and sEntiment Reasoner (VADER) is a lexicon and rule-based sentiment tool designed to measure sentiment of text from social media. DARTH VADER is a tool that utilizes WordNets to learn words that are not contained within the vader lexicon.

Language: Python - Size: 2.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

hipnologo/sentiment-analysis-worldnews

Script loads news via APIs, analyzes sentiments using VADER, displays results on Streamlit.

Language: Python - Size: 22.5 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

AdammGreen/Social-Media-Analysis-Python-

Here you can find Sentiment Analysis, NamedEntity Recognition, Social Media Analysis and Topic Modeling. Some of which are completed using NLP.

Language: Jupyter Notebook - Size: 14.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

shershah010/web-diary

A personal web diary made using the MEAN stack

Language: TypeScript - Size: 750 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - 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