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The WhatsApp Chat Analyzer is a tool designed to provide insightful analysis of your WhatsApp conversations. The analyzer generates visualizations like word clouds and offers sentiment analysis using Vader, helping you uncover patterns and sentiments within your chat history.
An API providing sentiment-scored news for PositivePress using the Vader NLP algorithm. A consuming frontend can be found at: https://github.com/tj2904/positive-press
This is an nlp, web-scrapping based ML capstone project, that allows users to retrieve datasets of the products listed on flipkart and amazon for the given product. Further, Sentiment Analysis can also be performed on the comments/reviews.
An extension of VADER Sentiment Analysis. Valence Aware Dictionary and sEntiment Reasoner (VADER) is a lexicon and rule-based sentiment tool designed to measure sentiment of text from social media. DARTH VADER is a tool that utilizes WordNets to learn words that are not contained within the vader lexicon.
Tarzan is an automated trading bot designed for swing trading penny stocks. It aggregates data from multiple sources, including social media, and financial news providers to place well-timed trades. The bot aims to maximize returns by holding positions for an average period of 1-14 days.
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.
Empower your content moderation with the console based AI text filtering system. Seamlessly filter and flag inappropriate or harmful content with precision and efficiency.
This is a simple Python script that utilizes the PRAW library to scrape comments from a specified subreddit on Reddit, analyzes the sentiment of the comments using both TextBlob and VADER (NLTK's sentiment analysis tool)