| Lab41/sunny-side-up |
512 |
|
0 |
0 |
over 9 years ago |
0 |
|
8 |
other |
Jupyter Notebook |
| Sentiment Analysis Challenge |
| iamaziz/ar-embeddings |
87 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
mit |
Python |
| Sentiment Analysis for Arabic Text (tweets, reviews, and standard Arabic) using word2vec |
| sismetanin/sentiment-analysis-of-tweets-in-russian |
46 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings. |
| loretoparisi/word2vec-twitter |
26 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Python |
| Word2Vec 400M Tweets Embedding model based on https://www.fredericgodin.com/software/ |
| AaronJi/TrumpTwitterAnalysis |
23 |
|
0 |
0 |
about 8 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Use machine learning (word2vec, LSI, LDA, NB, etc) to analysis Donald Trump's tweets. Based on Python. |
| toxtli/deep-learning-tweets-text-classifier-word2vec |
22 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
|
Python |
| This tool uses Word2Vec combined with Neural Networks, SVM, KNN, Naive Bayes, Decision Trees and ExtraTrees. This was used on Twitter for classifying tweets. |
| Ankushr785/Emotion-recognition-from-tweets |
14 |
|
0 |
0 |
over 8 years ago |
0 |
|
3 |
|
Python |
| A comprehensive approach on recognizing emotion (sentiment) from a certain tweet. Supervised machine learning. |
| aitoralmeida/spanish_word2vec |
13 |
|
0 |
0 |
almost 7 years ago |
0 |
|
1 |
|
|
| Ready to use Spanish Word2Vec embeddings created from >18B chars and >3B words |
| eubr-bigsea/Tweets-cluster |
9 |
|
0 |
0 |
over 9 years ago |
0 |
|
1 |
|
Python |
| loretoparisi/russian_trolls_tweets_dataset |
9 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
|
| Russian troll tweets |
