| t-davidson/hate-speech-and-offensive-language |
698 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017 |
| pmbaumgartner/text-feat-lib |
38 |
|
0 |
0 |
over 10 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Provide a comprehensive list of tokenizers, features, and general NLP things used for text analysis with examples. The initial focus is on features used for twitter data and sentiment analysis. |
| pedrobalage/TwitterHybridClassifier |
13 |
|
0 |
0 |
almost 12 years ago |
0 |
|
1 |
gpl-2.0 |
Python |
| Source code for the Twitter Hybrid Sentiment Classifier used in Semeval 2014 competition. (Sentiment Analysis system) |
| woodrad/Twitter-Sentiment-Mining |
11 |
|
0 |
0 |
over 11 years ago |
0 |
|
0 |
|
|
| A project to mine sentiment from tweets using a bag of words approach. |
| mbodke/Twitter-Sentiment-Analysis-using-R-shiny |
6 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
R |
| Project based on text mining: |
| jmhmd/lex-search |
5 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
mit |
JavaScript |
| Fast search of standardized lexicons like ICD10 and Radlex, using Twitter typeahead.js and lunr.js |
