Text Mining: NLP or NN



I am working on a project that requires a lot of test mining and text summarization. The data available is quite vast but noisy. what do you guys suggest, I should be working with creating a solution around NLP(NLTK) or Neural net will give me better results.

I will be really thankful if someone can throw more light on the concept.




I don’t know what you exactly want to do. But for NLP Word2Vec technique is very popular and good.


I have series of documents having some specific data as Address and size of property etc in the form of text. There is no fixed structure or verbatim of the document and I am trying to extract this information.

Hope I added some clarification here.


Means you want to extract address and size of property from all documents like Resume parser.

If I am right then below link will helpful for you.