Pre-trained Word Vector Models of 30+ Languages
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Updated
Mar 25, 2018 - Python
Pre-trained Word Vector Models of 30+ Languages
[OUTDATED] A set of classes/scripts for NLP tasks focused on finance data
Python interface for building, loading, and using GloVe vectors.
Trying the random acts of pizza Kaggle challenge
Taking a stab at the Quora Question pairs Kaggle Challenge
Word2Vec implementation in tensorflow
A chatbot developed to help FIB students. It uses NLP + Machine learning techniques such as sentence classification, or entity recognition (NER), along with a Deep Learning dialogue management model.
Evaluated the word vectors learned from both nce and cross entropy loss functions using word analogy tests
This library provides functionality for rapidly sharing and retrieving word embeddings over the internet. (EMNLP 2017).
Yet another Python binding for fastText
Short Text Similarity as described in https://dl.acm.org/citation.cfm?id=2806475
Domain Adaptation of Google's pre-trained Word Vectors to mid-19th century English Literature text | COL772 (NLP) @ IIT Delhi
A tool for learning morphological word embeddings
Retraining embedding models to incorporate emotional constraints.
Sentiment analysis using random forest and word-vectorization
The Word Embedding Database API
word embeddings. Created Date: 12 Feb 2019
Refer Readme.md
semantic-sh is a SimHash implementation to detect and group similar texts by taking power of word vectors and transformer-based language models (BERT).
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