text-blob

NLP project on "The Silmarillion" by J.R.R. Tolkien. Text and sentiment analyses using NLTK, VADER, Text Blob, and NRC Emotion Lexicon.

Scripit using Python that extract Tweets related to the prime minister of India, "Narendra Modi" and get Insights about his popularity.

Streamlit app for exam answer evaluation and analysis

Sentiment analysis of comments, the user can get to know about the community acceptance of its channel/video based on that one can maintain their content quality.

Scraped data from the website BooksAreMagic.com. Performed Exploratory Data Analysis using Tableau, Text Analysis using Python's libraries such as Natural Language ToolKit (NLTK), TextBlob etc. to gain meaningful insights on book reviews

Twitter sentiment analysis and client for ELK Enterprise with Python.

A collection of powerful Natural Language Processing (NLP) tools and scripts for tasks like text preprocessing, sentiment analysis, keyword extraction, and more — built with Python and popular NLP libraries.

NLP project on "The Hobbit" by J.R.R. Tolkien. Text and sentiment analyses using NLTK, VADER, Text Blob, and NRC Emotion Lexicon.

Perform sentimental analysis on the Elon-musk tweets and Extract reviews of any product from ecommerce website like amazon, Perform emotion mining.

An interactive web app to analyze tweet sentiments using TextBlob or VADER. Supports real-time predictions and CSV uploads for bulk analysis. Features automatic tweet cleaning, model selection, and sentiment visualizations with Seaborn/Matplotlib.

AI-powered GitHub project reviewer that analyzes READMEs and gives recruiter-grade feedback using Python, Streamlit & 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

An structured guide for NLP tool and libraries

Snippit is a super simple Flask based web application that splits a large text file into blobs of `X` words each.

Practice Repository for Natural Language tasks!

Hands-on NLP projects exploring the complete text-to-insight journey from text preprocessing and linguistic analysis to sentiment classification, machine learning, and transformer-based approaches using Python.

SATVA is an advanced spam analysis tool integrating Spam Classification, NER Extraction, Sentiment Analysis, and Blacklisted URL Tagging. It offers Telegram bot integration and a Streamlit web application, providing detailed, AI-generated responses. Ideal for enhancing security and understanding message content with comprehensive analysis.

A sentiment analysis web app that classifies text into positive, negative, or neutral emotions using machine learning.

This project involves building several tools to analyze webtoon content, perform sentiment analysis on user comments, and create a chatbot for interacting with content about "Castle Swimmer."