A tool for analyzing Google Play Store reviews
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Updated
Oct 29, 2020 - Python
A tool for analyzing Google Play Store reviews
Designed the model predicting the Duplicacy of the Quora Questions Pair using Advanced Feature Extraction, tfidf weighted WordtoVec, Machine Learning Algorithms with Hyperparameter Tuning.
2017 repository
In this notebook everything is done from data preprocessing to encoding
Google code of Word2Vec in Gutemberg books.
Word Embeding with Simple model, w2v, Simple RNN, LSTM
Domain Adaptation of Google's pre-trained Word Vectors to mid-19th century English Literature text | COL772 (NLP) @ IIT Delhi
Natural Language Processing sentiment analysis
Fake news detection in English and Vietnamese 📰❌
🥇 Решение трека Sberbank Online по классификации пользовательских отзывов о приложении Sberbank Online в AppStore и Google Play.
Client-side Javascript Word2Vec text model loader
Graduation Project - Sentiment Mining
Detection of misinformation of climate change using topic modeling (LDA) and Word Vectors
This project aims to analyze the sentiment of reviews by implementing a review polarity classification system. I will compare the performance of three different feature representations, namely Bag of Words, TFIDF, and Word2Vector using KNN Algorithms
参考@yoonkim及其他仓库,完善CNN for Sentence Classification
Data and code for the experiments in the Outlier Detection task proposed by Camacho-Collados et al.
Named Entity Recognition with 92.5% of F1-Score, developed in Pytorch using PoS embeddings, Word2Vec
Lab exercises of Speech and Language Processing course in NTUA
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