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

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

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).

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

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

Sentiment Analysis of Youtube Video Comments using Youtube Data Api

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

🔍 Places finder using Natural Language Processing

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.

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

Live sentiment analysis of tweets using Kafka

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

simple script for downloading Youtube comments without using the Youtube API

python'la yaptığım ekşi sözlük tutum ölçme programı

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

This Python code retrieves thousands of tweets, classifies them using TextBlob and VADER in tandem, summarizes each classification using LexRank, Luhn, LSA, and LSA with stopwords, and then ranks stopwords-scrubbed keywords per classification.

This is a sentiment analysis project with web UI.

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

Cyberbullying Detection using Semantic Analysis

Summarize News Article