twitter_sentiment_analysis_word2vec_convnet and Sentiment-Analysis-Twitter-word2vec-keras
These are **competitors** — both implement nearly identical architectures (Word2Vec embeddings + Keras CNN) for the same task (Twitter sentiment classification), with largely overlapping functionality and no technical interdependencies.
Maintenance
0/25
Adoption
6/25
Maturity
9/25
Community
18/25
Maintenance
0/25
Adoption
5/25
Maturity
9/25
Community
15/25
Stars: 23
Forks: 16
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 14
Forks: 5
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: GPL-3.0
Stale 6m
No Package
No Dependents
Stale 6m
No Package
No Dependents
About twitter_sentiment_analysis_word2vec_convnet
giuseppebonaccorso/twitter_sentiment_analysis_word2vec_convnet
Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network
About Sentiment-Analysis-Twitter-word2vec-keras
akanshajainn/Sentiment-Analysis-Twitter-word2vec-keras
A tweet sentiment classifier using word2vec and Keras. This Keras model can be saved and used on other tweet data, like streaming data extracted through the tweepy API.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work