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reuters-21578-classification

Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM

sentiment-analysis-keras-conv

Using Convolutional Neural Net for Sentiment Analysis

seq2seq

Sequence to Sequence Learning with Keras

show-attend-and-tell

TensorFlow Implementation of "Show, Attend and Tell"

show_and_tell.tensorflow

snaptran

spark-movie-lens

An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

speech_recognition

Speech recognition module for Python, supporting several engines and APIs, online and offline.

tefla

Tensorflow deep-learning framework

tensorflow-programs-and-tutorials

Implementations of CNNs, RNNs, GANs, etc

tensorflow101

Introduction to TensorFlow

text-analytics-with-python

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

text-mining

Unstructured Data Analysis (Graduate) @Korea University

text_cleaning_mysql_tor

A scraping using tor and cleaning of mysql data

textblob

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

tf_seq2seq_chatbot

[unmaintained]

topic.classification

Automated Topic Classification for News

trump-lies

Tutorial: Web scraping in Python with Beautiful Soup

ts_energymonitor

Upload Energy Monitor data to Thingspeak

twitter-sentiment-analysis-using-spark-streaming-and-kafka

Twitter Sentiment Analysis using Spark and Kafka

vadersentiment

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

video_to_sequence

Implementation of "Sequence to Sequence – Video to Text"

web-scrapping-concurent-process

webscrapping