| karpathy/covid-sanity |
321 |
|
0 |
0 |
almost 6 years ago |
0 |
|
3 |
mit |
Python |
| Aspires to help the influx of bioRxiv / medRxiv papers on COVID-19 |
| MirunaPislar/Sarcasm-Detection |
52 |
|
0 |
0 |
almost 8 years ago |
0 |
|
4 |
mit |
Python |
| Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques. |
| pln-fing-udelar/pghumor |
43 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| Is This a Joke? Humor Detection in Spanish Tweets |
| dkakkar/Twitter-Sentiment-Classifier |
27 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
Python |
| A twitter sentiment classifier based on Support Vector Machines algorithm |
| Planeshifter/tweet-sentiment |
16 |
|
0 |
2 |
almost 11 years ago |
1 |
April 20, 2015 |
0 |
mit |
JavaScript |
| SVM Classifier to Detect Sentiment of Tweets |
| D2KLab/twitpersonality |
9 |
|
0 |
0 |
about 7 years ago |
0 |
|
3 |
apache-2.0 |
Python |
| TwitPersonality: Computing Personality Traits from Tweets using Word Embeddings and Supervised Learning |
| glrn/nlp-disaster-analysis |
7 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
Python |
| nlp-disaster-analyasis |
| dimitramav/tweets-sentiment-analysis |
6 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Tokenization, WordCloud, vectorization and classification of tweets based on positive, neutral and negative sentiment |
| ashishtele/Python_Scripts |
6 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Useful class scripts such as Twitter comment scrap, Facebook data map |
| farisology/SentimentAnalysis |
6 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Sentiment Analysis model using Linear SVM and collection of Tweets about Star Wars Rogue One Movie |
