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Top 3 Python twitter-sentiment-analysis Projects
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stocksight
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
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hashformers
Hashformers is a framework for hashtag segmentation with Transformers and Large Language Models (LLMs).
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python twitter-sentiment-analysis related posts
- Twitter-Sentimental-Analysis-WebApp: Twitter Sentiment Analysis using hashtags, words, and username
- Twitter-Sentimental-Analysis-WebApp: Twitter Sentiment Analysis using hashtags, words, and username
- Create NLP pipelines with drag and drop
- nlphose is a collection of command line utilities, which can be piped together to create complex NLP pipelines for processing stream of tweets (or any other textual data). Currently supports sentiment analysis, 0-shot classification, Q&A, NER, Chunking.
- nlphose : A collection of utilities, which can be piped together to create complex NLP pipelines for processing tweets (and other data); inspired by the “Unix tools philosophy”. Currently supports sentiment analysis, question answering , zero-shot classification, language detection, NER, chunking
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Index
What are some of the best open-source twitter-sentiment-analysis projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | stocksight | 1,985 |
| 2 | hashformers | 63 |
| 3 | Twitter-Sentimental-Analysis-WebApp | 40 |
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