ML_twitter_celebs VS opinions

Compare ML_twitter_celebs vs opinions and see what are their differences.

ML_twitter_celebs

Machine Learning project that given a dataset of tweets posted on twitter by certain peoples, learner predicts which person tweeted what. (by luko007)

opinions

The goal of this project is to quantify opinions on a subject (person, company, movement, etc...) and understand why people feel the way they feel about it (by miguelscarv)
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ML_twitter_celebs opinions
1 1
0 1
- -
0.0 1.4
10 months ago about 1 year ago
Python Python
- -
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.

ML_twitter_celebs

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

opinions

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

What are some alternatives?

When comparing ML_twitter_celebs and opinions you can also consider the following projects:

svm-pytorch - Linear SVM with PyTorch

elon-markov-chain-twitter-bot - Markov chain to Twitter bot. Trained on Elon Musk tweets and childrens books.