shashank-bhatt-07

Keras-LSTM-Sentiment-Classification

Using Deep Learning Neural Networks to classify reviews of movie dataset to Positive and Negative Sentiment

Natural-Language-Generation-using-LSTM-Keras

Natural Language Generation using LSTM-Keras

Entity-Recognition-using-CRF

Create a customized model to identity the user defined entitys from the text

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

Entity-Recognition-using-Spacy

Create a customized model to identity the user defined entitys from the text

Analytics_Vidhya

Codes related to activities on AV including articles, hackathons and discussions.

fastText

Library for fast text representation and classification.

gensim

Topic Modelling for Humans

neupy

NeuPy is a Python library for Artificial Neural Networks and Deep Learning.

pyspark-distributed-kmodes

skflow

Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning

supervisely-tutorials

🌈 Tutorials for Supervise.ly

TF-recomm

Tensorflow-based Recommendation systems

twitter-post

This code shows how to get Twitter users interests combining Twitter API and MonkeyLearn.

wikipedia-extractor

This is a mirror of the script by Giuseppe Attardi, and contains history before the official repo started: https://github.com/attardi/wikiextractor --- Extracts and cleans text from Wikipedia database dump and stores output in a number of files of similar size in a given directory.

word2vec-api

Simple web service providing a word embedding model

word2vec-sentiments

Tutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting 87% accuracy in sentiment analysis in under 100 lines of code")