Telegram bot for translation messages to certain languages

Sentimentail Analysis on Amazon product reviews

Analyze the sentiment in the comment section of YouTube.

Rating: (8/10): ThematicBot is an AI-based chatbot developed using TensorFlow, spaCy, and KMeans clustering to generate contextually appropriate responses, improving user experience through tokenization, embedding, and Tkinter library management.

Multifunctional system for automatic text and language analysis

The Sentiment Analysis App, built with tkinter and TextBlob, features a main window with a violet background. Users input text in a provided box, clicking "Analyze Sentiment" triggers analysis. The app checks for empty input, displays results (Positive, Neutral, Negative) in a label below. Continuous event handling keeps the app responsive.

The global supply chain is a crucial driver of the world economy, enabling the movement of goods and services worldwide and directly impacting economic growth. Analyzing sentiment surrounding the global supply chain in March 2024 reveals whether it's positive or negative, offering insights into improvements and disruptions.

This a repo of Python project on NLP

Script designed to perform sentiment analysis on news articles retrieved from the NewsAPI based on a user-defined keyword.

I made a program that allows us to correct or predict the word we misspelled.

Uses streaming twitter data based on custom keyword to generate the sentiment of users around that keyword using TextBlob.

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

Analyzing Yelp reviews using textblob to score subjectivity, nltk to predict whether the review is bad, good, or in the middle.

This project delves into the CryptoCurrency subreddit, using PRAW API for data scraping and PySpark for analysis, to extract and analyze sentiments from submissions and comments. Its aim is to uncover prevailing community sentiments.

in this project was help you to analyze the peoples emotions or sentiment in twitter.

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

Here are the best python projects that will definately help you in a lot of way if you are beginner then you can use these projects and recreate them and can practice on python. Read Readmd for more information about projects available in repository,

This is project for sentiment analysis. I have used Natural language processing technology with python and tkinter for GUI

A twitter sentiment analysis program based on tweepy and textblob

An easy-to-use sentiment analysis tool using TextBlob and a custom GUI. Quickly assess text sentiment as positive, negative, or neutral. Ideal for social media monitoring, customer feedback analysis, and content moderation. Open-source under the MIT License.