An open API service providing repository metadata for many open source software ecosystems.

Topic: "textblob-sentiment-analysis"

DemetersSon83/NRCLex

An affect generator based on TextBlob and the NRC affect lexicon. Note that lexicon license is for research purposes only.

Language: Python - Size: 708 KB - Last synced at: 2 days ago - Pushed at: over 2 years ago - Stars: 71 - Forks: 44

VaibhavAbhimanyooHiwase/Sentimental_Analysis_using_Opinion_Target_and_Opinion_Words

This project performed sentimental analysis based on opinion words (like good, bad, beautiful, wrong, best, awesome, etc) of selected opinion target ( like product name for amazon product reviews).

Language: Python - Size: 12.5 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 26 - Forks: 14

alisolanki/emotion-ai-sentiment-analysis

Emotion AI (Sentiment Analysis) of Tweets using TextBlob and Django (Python)

Language: Python - Size: 439 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 20 - Forks: 17

jagnani73/fren

A Hack of the Hour presents to you a product that is meant to strengthen the relationship between a Therapist & their Client. A product that is meant to channel the Client's emotions and feelings anywhere, anytime. Providing a detailed analysis to the therapist, tailored to the Client itself.

Language: TypeScript - Size: 4.4 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 16 - Forks: 5

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: 2 months ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 10

yogeshnile/Twitter-Sentiment-Analysis-on-Flask-App

In this repo i created a twitter sentiment analysis on flask app (web base).

Language: Python - Size: 2.5 MB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 8 - Forks: 6

Amey-Thakur/SENTIMENT-ANALYZER

A simple Python Program to Analyze Sentiments using TextBlob Python Library.

Language: Jupyter Notebook - Size: 20.5 KB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 0

MayaraMachado/tweet_analysis

AnĂĄlise de sentimento de tweets utilizando Tweepy e Textblob.

Language: Jupyter Notebook - Size: 1.76 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 3

anushka23g/Twitter-sentiment-Analysis

In this project we have built a model which takes a dataset as an input andas an output gives the percentage of posive ,negative and neutral tweets in the given dataset. It is done using natural language processing library using scikit learn machine learning libraries such as textblob.

Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 3

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: about 1 year ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 3

AlbertSuarez/tag-and-find

🔍 Places finder using Natural Language Processing

Language: Python - Size: 64.9 MB - Last synced at: 10 months ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 0

piyushvarshney/twitter-sentiment-analysis

Twitter Sentiment analysis with polarity and subjectivity using Python

Language: HTML - Size: 12.7 KB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 6 - Forks: 3

anshul1004/LiveTwitterSentimentAnalysis

Live sentiment analysis of tweets using Kafka

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

beingmartinbmc/Opinion-Mining-Twitter

You can watch the working of this project at https://www.youtube.com/watch?v=me782RAMM3Y

Language: Python - Size: 2.93 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 5 - Forks: 1

santhoshse7en/tweety

tweety scrape all the tweets using python and selenium with No API rate limits. No restrictions. Extremely fast.

Language: Python - Size: 24.4 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 1

santhoshse7en/utuby

simple script for downloading Youtube comments without using the Youtube API

Language: Python - Size: 15.6 KB - Last synced at: about 1 month ago - Pushed at: about 1 month 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: almost 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: over 1 year ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 2

aparna879/Sentiment-Based-Rating-System

DBMS mini project implemented to calculate rating of a movie by analyzing the reviews given by the user.

Language: CSS - Size: 106 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 1

burhanahmed1/TwitSpark

Advanced Twitter sentiment analysis pipeline using Apache Spark for distributed data processing, featuring TF-IDF–based feature engineering and stochastic gradient-descent classification for scalable, real-time sentiment insights.

Language: Jupyter Notebook - Size: 1.34 MB - Last synced at: 20 days ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 1

bluexdev/YouTubeSentimentAnalyzer

Herramienta de anĂĄlisis de sentimientos para comentarios de YouTube utilizando TextBlob y Transformers.

Language: Python - Size: 13.7 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 3 - Forks: 0

Micky373/end_to_end_sentiment_analysis

In this project I used textblob library in Python and tried to do some analysis on the text provided. I summerized the text, find out the sentiment and also point out the subjectivity of the text. I implemented a simple UI using HTML,CSS,JavaScript and also Flask as my API handling back end tool.

Language: Jupyter Notebook - Size: 651 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

ananyathomas/Vecna

Vecna is a Python chatbot which recommends songs and movies depending upon your feelings

Language: Python - Size: 43 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 1

mlkplt/python-ile-eksi-sozluk-tutum-olcme-

python'la yaptığım ekßi sözlĂŒk tutum ölçme programı

Language: Python - Size: 11.7 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 1

rlondhe98/Semantic-PY

Cyberbullying Detection using Semantic Analysis

Language: Python - Size: 242 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 0

simranjeet97/Innovative-Sentiment-Analysis

I created a new technique to do sentiment analysis with 98% probability using multiple techniques combined to from a new method. I made a video on this whole project and show you, how “Next Gen Sentiment” is much better then NLTK, TEXTBLOB or LLMs.

Language: Jupyter Notebook - Size: 634 KB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 1

ashrit-ram-anala/VandyHacks-XI-Project

sentiment analysis stock predictor webapp for VandyHacks XI

Language: JavaScript - Size: 161 KB - Last synced at: 26 days ago - Pushed at: 8 months ago - Stars: 2 - Forks: 2

devika-be/Python-and-Flask-Projects

Python and flask projects

Language: HTML - Size: 13.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

EnginKARATAS/sentiment-anlysis

Twitter sentiment analysis and client for ELK Enterprise with Python.

Language: Jupyter Notebook - Size: 1.94 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

pritul2/Sentimental_Analysis

Sentimental analysis and prediction tool is used to get the sentiments of people on, tweeter tweets or upload CSV file or xls file and based on people feedbacks one can apply BI logics over product.

Language: CSS - Size: 2.62 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

Victor-Kariuki/Hisia

Twitter sentiment anaysis api ( using flask).

Language: Python - Size: 24.4 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

Aditi-Asati/Summarize-News-Article

Summarize News Article

Language: Python - Size: 3.91 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

Anjali2001saxena/Twitter-Sentiment-Analysis

This is a sentiment analysis project with web UI.

Language: Python - Size: 3.05 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

Pirata-Codex/Sentiment-Analysis-SparkML

Using SparkML to build different machine learning models for simulating a small scale of big data management

Language: Jupyter Notebook - Size: 172 KB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1

thongekchakrit/Twitter-scrapper-sentiment

Three clicks twitter sentiment analyzer with graphical output. A 🐍 mini project

Language: Jupyter Notebook - Size: 1.08 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 1

yogeshnile/Twitter-Sentiment-Analysis-on-Python-GUI

On this Repo created a Twitter Sentiment Analysis on python GUI (Tkinter).

Language: Python - Size: 123 KB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 3

Jayanthbm/twitter-sentiment-analysis-python-flask

Twitter Sentiment Analysis using python flask and Textblob

Language: HTML - Size: 15.6 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1

lukendatigh/counsellia-intelligent-counselling-system

An ML-based, Django app that let's counsellors manage their schedules and run sentiment analysis and topic modeling on the Twitter accounts of their clients.

Language: Python - Size: 820 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

ManojKumarMaruthi/Web-Scrapping

Scrapping the reviews of One-Plus 6T from amazon.in

Language: Jupyter Notebook - Size: 1.06 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 0

a1nouru/Twitter-Sentiment-Analysis

Analyzing reaction to tweets using TextBlob

Language: Python - Size: 6.93 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1

AshleyXWong/twitter_data_mining

Experimenting with Twitter API's and gathering tweets from twitter

Language: Python - Size: 3.91 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 0

Dammonoit/Oppenheimer

This project is based on Sentimental Analysis of by Live Streaming of Twitter Data using Hashtags with The help of Tweepy API by Twitter and also libraries like textblob, Pandas etc.

Language: Jupyter Notebook - Size: 597 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 0

EletherioAlexandre/Echo-Mind

Plataforma de anålise de sentimentos aplicada a feedbacks de usuårios. Microserviço Python integrado com arquitetura profissional para projetos.

Language: C# - Size: 7.37 MB - Last synced at: 24 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

Gabya06/sentiment_analysis_glassdoor

Sentiment Analysis on glassdoor.com data science jobs

Language: Jupyter Notebook - Size: 929 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

ericmaddox/neurollama-ai

Interactive AI Chat with Memory and Sentiment Analysis. Features text-to-speech, conversation history retention, and customizable sentiment-aware responses using Llama 3.2 and TextBlob.

Language: Python - Size: 9.82 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

AryanBalaji/TextAnalysis

Conducted sentiment analysis and data visualization on YouTube comments using the TextBlob library, uncovering insights on audience engagement, emoji usage, and video performance metrics. Implemented linear regression models to explore correlations between views, likes, video titles, and audience engagement.

Language: Jupyter Notebook - Size: 1.26 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

ishita48/JARVAIS-AI

The Jarvis Project is your personal virtual assistant, offering voice and text interaction for streamlined tasks and entertainment. With features like speech recognition, text-to-speech, and API integration, Jarvis simplifies your life and keeps you informed. Powered by OpenAI's GPT-3, it provides personalized responses for a seamless experience.

Language: Python - Size: 17.6 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

miamib34ch/HSE-DataAnalysisTechnologies 📩

Practical works on the subject "Data Analysis Technologies on the Internet"

Language: Jupyter Notebook - Size: 21.9 MB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Parvezkhan0/Media-Bias-Detection

Developed a machine learning model to detect media bias in news articles. Employed natural language processing techniques to analyze text content and classify sources into unbiased, left-leaning, or right-leaning categories. This project enhanced my expertise in text analysis and understanding of media landscape.

Language: Python - Size: 11.7 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

ani-sh2301/web-scraping

webscraping projects using python

Language: Python - Size: 6.84 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

dennisrodman91/Twitter-Sentiment-Analysis-About-The-Depression

sentimen analysis about the depression from tweets

Language: Jupyter Notebook - Size: 362 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

dennisrodman91/Disneyland-Reviews-Sentiment-Analysis-Using-Textblob

sentiment analysis using textblob

Language: Jupyter Notebook - Size: 465 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Jaideep2002/Sentimental-Analysis-of-User-Comments-On-YouTube-Video

The project is about Sentimental Analysis of YouTube Comments. Our Model analyses the comments whether it is positive, negative, or neutral, and gives feedback on the YouTube video. We are using two models to analyze the sentiment. i.e. VADER and TEXT BLOB.

Language: Python - Size: 3.36 MB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 4

MoinDalvs/Sentiment_Analysis_on_-Elon_musk_Tweets

Perform sentimental analysis on the Elon-musk tweets (Elon-musk.csv)

Language: Jupyter Notebook - Size: 4.65 MB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

RAVI-CHANDRIKA-05/ANALYSING_DISNEYLAND_REVIEWS_NLP

this repo contains files for my analysis on disney land visitor reviews using NLP

Language: HTML - Size: 24.8 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

jsngn/amazon-awesomeness-predictor

Ratings Predictor: Predict whether an Amazon product is highly rated

Language: Python - Size: 45.3 MB - Last synced at: 10 months ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

p-adams/sentiment-app

Simple user input sentiment analysis web application

Language: Smarty - Size: 5.86 KB - Last synced at: 18 days ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

hitz02/footballer-tweets-sentiment

A Django-based web application to demonstrate sentiment distribution of tweets made by footballers and their teams before and after COVID

Language: JavaScript - Size: 5.4 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

SashaFlores/NLP_Election

This project took place during the 2020 presidential election to weigh voters' emotional and rational tweets.

Language: Jupyter Notebook - Size: 4.16 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

letstryy/Sentiment-score-prediction

Try sentiment score prediction :p

Language: Jupyter Notebook - Size: 12.6 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

debmalyapan53/SentimentAnalysis

Mood Analysis using Twitter

Language: Python - Size: 3.68 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

heikalb/just-listen

A chatbot that responds based on semantic analysis

Language: Python - Size: 1000 Bytes - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

gabcastro/Unisinos-TopicosEspeciaisII-PLN-LeituraTextual

Study of Natural Language Processing to extract informations of sentences

Language: Jupyter Notebook - Size: 20.7 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

santhoshse7en/utuby_doc

simple script for downloading Youtube comments without using the Youtube API

Language: JavaScript - Size: 254 KB - Last synced at: 3 months ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

simranjeet97/Sentiment_Analysis_Twitter

Twitter Sentiment Analysis With Graphs, Popularity Analysis With Time Series Graphs Using TextBlob and Python.

Language: Python - Size: 29.3 KB - Last synced at: 3 months ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 1

sambit9238/sentiment_analysis_textblob

Sentiment Analysis using Textblob deployed through flask and docker.

Language: HTML - Size: 3.91 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 2

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. đŸ—șïžđŸŒ

Language: HTML - Size: 24.4 KB - Last synced at: about 1 hour ago - Pushed at: about 2 hours ago - Stars: 0 - Forks: 0

moonkl/Sentiment-Analysis-web-app

# 🌍 Multilingual Sentiment Analysis Web AppThis project offers a full-stack application that analyzes sentiment in text across multiple languages using the Hugging Face Inference API. It features a responsive user interface and automatic language detection, making it a practical tool for diverse users. đŸŒŸđŸ’»

Language: Python - Size: 15.6 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

aushandra07/Yelp-Review-Sentimental-and-Data-Analysis

A complete data analytics pipeline leveraging Python for JSON preprocessing, AWS S3 for storage, and Snowflake for data warehousing. Includes end-to-end processing and analysis using SQL to extract meaningful insights.

Language: Jupyter Notebook - Size: 17.6 KB - Last synced at: 2 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

husskhosravi/aws-snowflake-analytics-pipeline

End-to-end pipeline analysing Yelp reviews using AWS S3, Snowflake, Python UDFs and advanced SQL sentiment analysis

Language: Python - Size: 43.9 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

SahilSingh-15/Sentiment-Analysis-App

A Sentiment Analysis App built using Random Forest Classifier and also using TextBlob and Vandar Libraries .

Language: Jupyter Notebook - Size: 4.24 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Jim-by/tweet-sentiment-analysis

Sentiment analysis of tweets using TextBlob for labeling and RandomForest for classification.

Language: Python - Size: 0 Bytes - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

pandaiscodingcpu/SentimentAnalysis

Sentiment analysis webpage using Streamlit

Language: Python - Size: 3.91 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

paulo-freitas-junior/ifood-dev-week2023

RepositĂłrio sobre a Dev Week iFood sobre uso de Python e InteligĂȘncia Artificial para realização de cĂĄlculo de NPS ( Net Promoter Score ) e a utilização de IA para anĂĄlise de sentimentos dos comentĂĄrios usando tecnologia do ChatGPT-4.

Language: Jupyter Notebook - Size: 78.1 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

PMDOUGLAS23/Customer-Reviews-Analysis

Data Science Project : Supply Chain - Satisfaction des clients. PrĂ©dire la satisfaction client Ă  partir des commentaires. De ces commentaires, identifier les catĂ©gories de sujets problĂ©matiques A partir des commentaires clients, ĂȘtre capable d’automatiser une rĂ©ponse DĂ©tection du sentiment client : positif, neutre ou nĂ©gatif

Language: Jupyter Notebook - Size: 54 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

jiya19g/Sentio-Sentiment-Analysis-Model

sentiment analysis web app

Language: Python - Size: 33.2 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 2

stephenombuya/AI-Powered-Writing-Assistant

An advanced writing assistant that helps users improve their writing through grammar checking, style analysis, and intelligent suggestions.

Language: Python - Size: 39.1 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

mhdimo/osu-chat-sentiment-analysis

Project for the subject "Technologied for Advanced Programming"

Language: Jupyter Notebook - Size: 415 KB - Last synced at: 4 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Vibhore-sagar/Stock-Movement-Analysis-Based-on-Social-Media-Sentiment

This project aims to develop a machine learning model that predicts stock movements by analyzing sentiment in social media discussions (Reddit posts).

Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

eceyy/British-Airways-Data-Science-Virtual-Intership

Language: Jupyter Notebook - Size: 5.49 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

mtgsoftworks/SENTIMENT-ANALYSIS

Sentiment analysis project using NLP to classify Amazon reviews of products based on customer sentiment

Language: Python - Size: 473 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

djmeow0407/mini-NLP-SP

also first time working with nlp and simple postgresql

Language: Python - Size: 22.5 KB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

perusworld/micro-services-containers-tutorial

Micro Services, Containers and Orchestration Tutorial

Language: TypeScript - Size: 1.31 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 1

pRoMasteR2002/HexSoftwares_Project_Sentiment-Analysis

A sentiment analysis tool that classifies feedback as positive, negative, or neutral, with corresponding emotional reactions.

Language: Python - Size: 15.6 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Haripriya9851/Yelp-Restaurants-Topic-Modelling---NLP

Using NLP based LDA-Gensim Topic modelling Algorithm to categorize Yelp restaurant reviews.

Language: Jupyter Notebook - Size: 1.17 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Vishwas-Chakilam/Twitter-Sentiment-Analysis

Twitter Sentiment Analysis is a Python project that analyzes the sentiment of tweets based on a user-defined keyword. It uses Tweepy to fetch tweets from the Twitter API and TextBlob for sentiment analysis. The application features a user-friendly GUI with Tkinter, displaying tweet sentiment as positive, negative, or neutral.

Language: Python - Size: 11.7 KB - Last synced at: 1 day ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

idilersudas/BTC-NewsSentiments

Bitcoin price fluctuation prediction model using headline sentiment scores from top newpaper articles. This is the repository that includes all the data and python scripts used while creating the project.

Language: Jupyter Notebook - Size: 8.94 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

tasniattohfa/review_analysis

In this repository, I tried to analyze different apps' review analysis through google play scraper and sentiment of those review analysis through textBlob

Language: Jupyter Notebook - Size: 311 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

rizkynhidayat/Movie-Sentiment-Analysis-Using-NLP

This project is to analyze the sentiment of subtitle text from the movie "Coco (2017)" using the Natural Language Processing (NLP) tool TextBlob. Through this analysis, I aim to understand how the audience's emotions evolve throughout the film and create compelling visualizations of the sentiment analysis results.

Language: Jupyter Notebook - Size: 25.7 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

marcuscrodriguez/dothey

AI, Sentiment Analysis of Human Romantic Relationships

Language: Python - Size: 1.15 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Ujjwal-Jaiswal-UJ/Sentiment-Analysis-on-PDF-file

The response pdf is neatly organized in a table format in PDF, contains 15 distinct questions and corresponding 106 student answers. Performed sentiment analysis on pdf by extracting the raw data from pdf and convert it into data frame for easy analysis. Then perform column wise and row wise sentiment analysis and shown the result along with graph

Language: Jupyter Notebook - Size: 577 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Elhacen18/PythonTextBlob

Graduate course project that involves Analyzing documents using Textatistic, TextBlob, and spaCy.

Language: Python - Size: 1.04 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Herqules/Twitter-DataAnalytics

collection of Python scripts designed for scraping Twitter data, conducting sentiment analysis on tweets, retrieving stock market information, and more.

Language: Python - Size: 4.88 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

gitgit-hooray/finalCapstone

NLP Sentiment Analysis & Similarity Comparison of an Amazon Product Reviews Dataset

Language: Python - Size: 112 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

HR-Fahim/Customer-Sentiment-Analysis-API

Basic Sentiment Analysis API implemented with Python, Flask, and TextBlob.

Language: Python - Size: 11.5 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sid966/Product_Recommendation_Rating_Prediction_from_Reviews

This Project is about predicting recommendation Rating based on Reviews data of customers.

Language: Jupyter Notebook - Size: 3.29 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Tanay-Dwivedi/Wiki-Scraper

This Streamlit app enables users to input a Wikipedia page URL for content, summary, images, references, top 10 words, and sentiment analysis, presenting concise insights with visual elements.

Language: Python - Size: 6.43 MB - Last synced at: 22 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Tanay-Dwivedi/News-Summarizer

It is a Streamlit-based web application, "News Express," designed to provide comprehensive insights into news articles through features such as sentiment analysis, named entity recognition, and visualizations like word clouds.

Language: Python - Size: 1.34 MB - Last synced at: 22 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sraboni-bhuiyan/sentiment-analysis

Analysis of peoples satisfaction using sentiment analysis presents a comprehensive approach to gather and analyze sentiment from 1500 comments related to the "Lord of the Rings" series on YouTube.

Size: 6.84 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0