Category Archives: Natural Language Processing(NLP)

Word2Vec, Unigram, NGram

 

 

 

 

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Must see this:

Word embeddings are a modern approach for representing text in natural language processing. Embedding algorithms like word2vec and GloVe are key to the state-of-the-art results achieved by neural network models on natural language processing problems like machine translation. In this tutorial, you will discover how to train and load word embedding models for natural language ?

 

Natural Language Processing, Text Summarization,

 

 

 

Use Stanford NLP with Android

Steps:
1. Download the whole nlp from the site.
2. Copy stanford-postagger.jar file and paste it in the app>libs folder
3. Right click on it and click add to library.
4. Now write the example code available in the net with class tagText{} and in MainActivity.java
5. import library import import edu.stanford.nlp.tagger.maxent.MaxentTagger;

This video may help.

Update: It is giving errors with android.