Twitter-Sentiment-Analysis
Tweet analyzer
An application for analyzing sentiment in tweets written in Java.
11 stars
9 watching
13 forks
Language: Java
last commit: over 9 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| An application that uses natural language processing to determine the sentiment behind user-generated text data | 52 |
| An iOS project that uses the Swifter API to fetch tweets and a CoreML model for sentiment analysis. | 6 |
| A tool to predict sentiment analysis on tweets using deep neural networks | 275 |
| Provides a simple sentiment analysis tool with extensible analysis strategies | 14 |
| A toolset for collecting and analyzing tweets from Twitter | 367 |
| Analyzes sentiment in Thai text using machine learning algorithms and natural language processing techniques. | 12 |
| An open source Swift library for sentiment analysis of phrases using word lists and emoji rankings. | 13 |
| A Java library for interacting with the Twitter API | 240 |
| A tool for extracting and analyzing Twitter data | 1,938 |
| An app that streams social media data and analyzes sentiment to identify trends and visualizes them on real-time charts | 211 |
| A Rust implementation of Twitter's standard for parsing tweet text | 14 |
| A simple Ruby-based sentiment analysis tool that tokenizes sentences and assigns scores based on average sentiment | 465 |
| Collects and processes tweets from the Twitter API using Academic access | 20 |
| An Elastic Sentiment Analysis application using Apache Mesos and Spark to analyze public opinions on Twitter topics. | 35 |
| An app to visually inspect and identify individuals contributing a large number of tweets in a user's timeline | 89 |