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

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

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twitter-stock-sentiment Twitter-Sentiment-Analysis-API
1 2
9 3
- -
0.0 0.0
about 3 years ago over 2 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-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.

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.

What are some alternatives?

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

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

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

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

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.

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.