Twitter-Sentiment-Analysis-API VS twitter-stock-sentiment

Compare Twitter-Sentiment-Analysis-API vs twitter-stock-sentiment and see what are their differences.

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Twitter-Sentiment-Analysis-API twitter-stock-sentiment
2 1
3 9
- -
0.0 0.0
over 2 years ago about 3 years ago
Python Python
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Twitter-Sentiment-Analysis-API

Posts with mentions or reviews of Twitter-Sentiment-Analysis-API. We have used some of these posts to build our list of alternatives and similar projects.

twitter-stock-sentiment

Posts with mentions or reviews of twitter-stock-sentiment. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Twitter-Sentiment-Analysis-API and twitter-stock-sentiment you can also consider the following projects:

django-rest-framework-jwt - JSON Web Token Authentication support for Django REST Framework [Moved to: https://github.com/jpadilla/django-rest-framework-jwt]

stocksight - Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

lyricsavant - Lyric Savant is a data-driven User Interface that leverages the Lyrics Genius API to webscrape an artist's lyrics and display a module that includes their biographical information, a sample of their lyrics, and statistical insights regarding their vocabulary and polarity scores of their lyrics.

mixed-naive-bayes - Naive Bayes with support for categorical and continuous data

News-Sense - A Streamlit app based on Python that fetches top news articles from the News API, generates a summary of each article using the OpenAI GPT-3 model, analyzes the sentiment of the article using the NLTK library, and classifies the article into different categories based on keywords.