| shirosaidev/stocksight |
1,557 |
|
0 |
0 |
over 3 years ago |
0 |
|
8 |
apache-2.0 |
Python |
| Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis |
| aritter/twitter_nlp |
817 |
|
0 |
0 |
over 5 years ago |
0 |
|
11 |
gpl-3.0 |
HTML |
| Twitter NLP Tools |
| 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 |
| cbaziotis/ekphrasis |
583 |
|
7 |
0 |
over 3 years ago |
54 |
May 17, 2022 |
18 |
mit |
Python |
| Ekphrasis is a text processing tool, geared towards text from social networks, such as Twitter or Facebook. Ekphrasis performs tokenization, word normalization, word segmentation (for splitting hashtags) and spell correction, using word statistics from 2 big corpora (english Wikipedia, twitter - 330mil english tweets). |
| hubtype/botonic |
439 |
|
1 |
17 |
about 2 years ago |
124 |
November 23, 2023 |
117 |
mit |
TypeScript |
| Build chatbots and conversational experiences using React |
| theopenconversationkit/tock |
423 |
|
0 |
3 |
over 2 years ago |
46 |
November 24, 2023 |
143 |
apache-2.0 |
Kotlin |
| Tock, the open source conversational AI toolkit. |
| bakrianoo/aravec |
242 |
|
0 |
0 |
about 5 years ago |
0 |
|
3 |
|
Jupyter Notebook |
| AraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models. |
| cardiffnlp/tweetnlp |
226 |
|
0 |
1 |
over 2 years ago |
24 |
January 28, 2023 |
5 |
mit |
Python |
| TweetNLP for all the NLP enthusiasts working on Twitter! The Python library tweetnlp provides a collection of useful tools to analyze/understand tweets such as sentiment analysis, emoji prediction, and named entity recognition, powered by state-of-the-art language models specialised on Twitter. |
| cbaziotis/datastories-semeval2017-task4 |
171 |
|
0 |
0 |
almost 8 years ago |
0 |
|
8 |
mit |
Python |
| Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis". |
| kinshukdua/LiveActionMap |
165 |
|
0 |
0 |
about 4 years ago |
0 |
|
10 |
mit |
Python |
| An attempt to map the areas with active conflict in Ukraine using open source twitter data. |
