Difference between revisions of "Bag-of-Words (BoW)"
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* [[Natural Language Processing (NLP), Natural Language Inference (NLI) and Recognizing Textual Entailment (RTE)]] | * [[Natural Language Processing (NLP), Natural Language Inference (NLI) and Recognizing Textual Entailment (RTE)]] | ||
| − | * [ | + | * [[Scikit-learn]] Machine Learning in Python, Simple and efficient tools for data mining and data analysis; Built on NumPy, SciPy, and matplotlib |
* [[Word2Vec]] | * [[Word2Vec]] | ||
* [[Doc2Vec]] | * [[Doc2Vec]] | ||
Revision as of 05:21, 7 September 2018
- Natural Language Processing (NLP), Natural Language Inference (NLI) and Recognizing Textual Entailment (RTE)
- Scikit-learn Machine Learning in Python, Simple and efficient tools for data mining and data analysis; Built on NumPy, SciPy, and matplotlib
- Word2Vec
- Doc2Vec
- Skip-Gram
- Global Vectors for Word Representation (GloVe)
