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> (2019) The 7 Basic Functions of Text Analytics
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VAL
Дата 16.07.2019 11:56
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(2019) The 7 Basic Functions of Text Analytics
Источник: https://www.lexalytics.com/lexablog/text-an...tions-explained

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Text analytics and natural language processing are often portrayed as ultra-complex computer science functions that can only be understood by trained data scientists. But the truth is that the core concepts are pretty easy to understand (though to be fair, the the actual technology is quite complicated). In this quick, high-level overview we’re going to review the basic functions of text analytics, and explore how each contributes to deeper natural language processing features.

Quick background: text analytics refers to a discipline of computer science that combines machine learning and natural language processing (NLP) to draw meaning from unstructured text documents.


QUOTE
Much like a student writing an essay on Hamlet, a text analytics engine must break down sentences and phrases before it can actually analyze anything. Tearing apart unstructured text documents into their component parts the first step in pretty much every NLP feature, including named entity recognition, theme extraction, and sentiment analysis.


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There are 7 basic steps involved in preparing an unstructured text document for deeper analysis:

    Language Identification
    Tokenization
    Sentence Breaking
    Part of Speech Tagging
    Chunking
    Syntax Parsing
    Sentence Chaining


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Дата 16.07.2019 14:57
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QUOTE
Further reading and resources

Hungry for more information about text analytics?
I’m a big fan of the Wikipedia article on this subject (don’t tell my high school English teacher). Note that Wikipedia considers Text Analytics and Text Mining to be one and the same thing. I don’t necessarily agree with that position, but we’ll discuss that another time.
You can also visit to our technology webpage for more explanations of sentiment analysis, named entity recognition, summarization, intention extraction and more.
Lastly, if you’d like to see text analytics in action, feel free to play around with our free online web demo.


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