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.

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 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!

This project performs sentiment analysis on Reddit comments related to the Israel-Palestine conflict.

This repository contains data science projects made by me ,projects are trained and experimented with different ML algorithm.Star this repo to know my upcoming DS projects

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.

Sentiment analysis app user can multiplle products comment input and analysis positive negative neutral

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."

Sentiment analysis of a particular user

Geographical Networks Project 2020-2021. Given the current situation, from the pandemic phenomenon of Covid-19, we want to carry out a project based on Sentiment Analysis through Twitter, to understand what the Italian population thinks about it, focusing on how it reacted following the various decisions governmental (dpcm, etc.).