This is the keynotes and demo notebook for GDG Festival 2017 Beijing Lightning Talk
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Updated
Nov 18, 2017 - Jupyter Notebook
This is the keynotes and demo notebook for GDG Festival 2017 Beijing Lightning Talk
TextSentimentClassification, using tensorflow.
Apply CNN-LSTM model on multi-class text classification task.
NLP starter kit
This is a toy implementation of RNNText on zhihu tag classification dataset.
自然语言处理相关实验实现 some experiment of natural language processing, Like text classification, named entity recognition, pos-tags, segment, key words extractor, auto summarize etc.
Short Text Classification with Deep Neural Networks: An Experimental Analysis
Basic text classification techniques are applied using multiple classifiers on top of 20_newsgroup data set calculating each models precision, recall, F1 and accuracy
Several methods to solve text classification problems
Machine Translation and Multilinguality in Text classification
A basic machine learning model built in python jupyter notebook to classify whether a set of tweets into two categories: racist/sexist non-racist/sexist.
Naive Bayes algorithm for multi-category text classification.
Fake News Detection - Feature Extraction using Vectorization such as Count Vectorizer, TFIDF Vectorizer, Hash Vectorizer,. Then used an Ensemble model to classify whether the news is fake or not.
Finding a Artists Style
Rank 1 / 216
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