Svo_automation
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Botlibre | 552 | 4 months ago | 15 | epl-1.0 | Java | |||||
| An open platform for artificial intelligence, chat bots, virtual agents, social media automation, and live chat automation. | ||||||||||
| Book Socialmediaminingpython | 415 | 4 years ago | 4 | Python | ||||||
| Companion code for the book "Mastering Social Media Mining with Python" | ||||||||||
| Social Berterfly | 55 | 2 years ago | 2 | mit | HTML | |||||
| Finding your MBTI personality type based on your Twitter activity using BERT | ||||||||||
| Bookworm | 54 | 5 years ago | mit | Jupyter Notebook | ||||||
| :books: social networks from novels | ||||||||||
| Mbti Personality Classifier | 51 | 4 months ago | mit | Jupyter Notebook | ||||||
| A model which uses your social media posting predict your MBTI personality type. | ||||||||||
| Friend.ly | 41 | 3 years ago | 12 | apache-2.0 | JavaScript | |||||
| A social media platform with a friend recommendation engine based on personality trait extraction | ||||||||||
| Srb | 38 | 6 years ago | 4 | Python | ||||||
| Code for "Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization" | ||||||||||
| Social Media Depression Detector | 28 | 5 years ago | gpl-3.0 | Jupyter Notebook | ||||||
| :pensive: :disappointed: :persevere: :confounded: :weary: Detect depression on social media using the ssToT method introduced in our ASONAM 2017 paper titled "Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media" | ||||||||||
| Dutch Word Embeddings | 27 | 2 years ago | other | Python | ||||||
| Dutch word embeddings, trained on a large collection of Dutch social media messages and news/blog/forum posts. | ||||||||||
| Insults | 23 | a year ago | 2 | May 21, 2017 | 19 | gpl-3.0 | Python | |||
| Detect whether a social media comment is insulting or derogatory | ||||||||||
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