Date (e.g., August 10, 2023): We've made some changes! Sentinetic has been refactored to utilize the Mastodon API instead of the Twitter API. This shift was made due to cost considerations related to the Twitter API. Users can now analyze sentiments from Mastodon posts. Thank you for your understanding and continued support!
Sentinetic is a powerful and user-friendly tool that leverages the ChatGPT API and the Twitter API to allow users to perform sentiment analysis on tweets. Sentiment analysis, also known as opinion mining, is the process of determining the emotional tone behind a series of words. The app categorizes tweets as positive, negative, or neutral.
Hashtag Search: Users can input a hashtag into the app's search bar to find tweets related to the specified topic.
Sentiment Analysis: The app uses the ChatGPT API, combined with natural language processing techniques, to analyze the sentiment of the retrieved tweets. It calculates the percentage of positive, negative, and neutral sentiments within the tweet dataset.
Real-time Results: The sentiment analysis is performed in real-time, providing users with instant feedback on the overall sentiment of the collected tweets.
Interactive Visualizations: The app presents the sentiment analysis results in interactive visualizations, making it easier for users to interpret the sentiment distribution of the tweets.
User-Friendly Interface: With a clean and intuitive interface, the app ensures a seamless and enjoyable user experience.
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Visit the web application at https://sentinetic-987fae0a7fa7.herokuapp.com/
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In the search bar, enter the hashtag you want to analyze (e.g., #AI, #ClimateChange, #Technology).
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Click the "Search" button to initiate the Twitter API search for tweets related to the specified hashtag.
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Once the tweets are fetched, the app will perform sentiment analysis using the ChatGPT API and display the percentage distribution of positive, negative, and neutral sentiments.
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Interact with the visualizations to explore the sentiment breakdown further.
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Front End: React, Bootstrap, CSS
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Backend: GraphQL, Node.js, Express.js, MongoDB, Mongoose ODM, Apollo, JWT