Category Archives: Natural Language Processing(NLP)

Mission Machine Learning

Pagerank Algorithm Eigenvalue


Square Matrices



Geometric Interpretation




Word Embeddings

Word2Vec, Unigram, NGram





Top 27+ Free Software for Text Analysis, Text Mining, Text Analytics: Review of Top 27 Free Software for Text Analysis, Text Mining, Text Analytics includingGeneral Architecture for Text Engineering ? GATE, RapidMiner Text Mining Extension, KH Coder, VisualText, Datumbox, TAMS, QDA Miner Lite, Carrot2, CAT, GATE, tm, Gensim, Natural Language Toolkit, Unstructured Information Management Architecture, OpenNLP, KNIME, Orange-Textable, LPU, Apache Mahout, Pattern, LingPipe, S-EM, LibShortText, Twinword, Apache Stanbol, Aika, Distributed Machine Learning Toolkit and Coh-Metrix.



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

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
5. import library import import edu.stanford.nlp.tagger.maxent.MaxentTagger;

This video may help.

Update: It is giving errors with android.