How Natural Language Processing Helps Uncover Social Media Sentiment [08Nov11] - 0 views
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NLP goes by many names — text analytics, data mining, computational linguistics — but the basic principle remains the same. NLP refers to computer systems that process human language in terms of its meaning.
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Apart from common word processor operations that treat text like a mere sequence of symbols, NLP considers the hierarchical structure of language: several words make a phrase, several phrases make a sentence and, ultimately, sentences convey ideas. By analyzing language for its meaning, NLP systems have long filled useful roles, such as correcting grammar, converting speech to text and automatically translating between languages.
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NLP can analyze language patterns to understand text. One of the most compelling ways NLP offers valuable intelligence is by tracking sentiment — the tone of a written message (tweet, Facebook update, etc.) — and tag that text as positive, negative or neutral.
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