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NLP

in this repository you will find different tools to process text data

facebook crawler

crawls texts from the newsfeed of a specific site

spelling correction

a statistical spelling corrector which uses a dictionary and propability to correct misspellins

wiki_word2vec_domain

creats word embeddings using word2vec on wikipedia dump and allows you to further train the model on domain specific texts

Topic Model (LDA)

uses stopwords and bigrams to reduce dimension extracts topics from text including visualisation

bokeh_cloud

interactiv visualisation of categorial texts

Sentiment RNN

uses a Recurrent neural network to learn and predict entiment from twitter data

Groschenromangenerator RNN

takes german romantic short stories and generates new ones using a Recurrent neural network

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