by TharinduMunasinge
AI summary
Tweet analyzer
An application for analyzing sentiment in tweets written in Java.
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Found by comparing what the projects do, not just their names.
Sentiment analyzer
An application that uses natural language processing to determine the sentiment behind user-generated text data
Tweet Analyzer
An iOS project that uses the Swifter API to fetch tweets and a CoreML model for sentiment analysis.
A tool to predict sentiment analysis on tweets using deep neural networks
Provides a simple sentiment analysis tool with extensible analysis strategies
A toolset for collecting and analyzing tweets from Twitter
Analyzes sentiment in Thai text using machine learning algorithms and natural language processing techniques.
Phrase analyzer
An open source Swift library for sentiment analysis of phrases using word lists and emoji rankings.
Twitter client
A Java library for interacting with the Twitter API
Twitter analyser
A tool for extracting and analyzing Twitter data
Sentiment visualization tool
An app that streams social media data and analyzes sentiment to identify trends and visualizes them on real-time charts
Tweet parser library
A Rust implementation of Twitter's standard for parsing tweet text
A simple Ruby-based sentiment analysis tool that tokenizes sentences and assigns scores based on average sentiment
Tweet collector
Collects and processes tweets from the Twitter API using Academic access
Sentiment Analyzer
An Elastic Sentiment Analysis application using Apache Mesos and Spark to analyze public opinions on Twitter topics.
Tweet Inspector
An app to visually inspect and identify individuals contributing a large number of tweets in a user's timeline
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