NLP: any easy and good methods to find semantic similarity between words?

Question

I don\'t know whether StackOverflow covers NLP, so I am gonna give this a shot. I am interested to find the semantic relatedness of two words from a specific domain, i.e. \"imag

Answer 1

Word-Space is definitely the way to go here.If LSA is to slow for your application and if the semantics in random-indexing is too shallow the you should consider api.cortical.io . This REST API can give you the semantic fingerprint representation of any word. This semantic fingerprint contains all the different contexts to which the words belong. You can disambiguate any word wit one call like "organ" returns (muscle, piano, church, membership...) And for each of the contexts you can get contextual terms: "piano" will give (organ, clarinet, violin, flute, cello, compositions, harpsichord, orchestral) Concerning your last aspect, these semantic fingerprints are fully language independent. Currently cortical.io API covers: English, Spanish, French, German, Danish, Arabic, Russian, Chinese. More languages are being published until the end of 2014.