Preliminary defense. Text analysis Done by: Khudayorova Ro'za Group: 403

Preliminary defense. Text analysis Done by: Khudayorova Ro'za Group: 403

Samarkand state institute of foreign languages

Text Analysis (TA) aims to extract machine-readable information from unstructured text in order to enable data-driven approaches towards managing content. To overcome the ambiguity of human language and achieve high accuracy for a specific domain, TA requires the development of customized text mining pipelines.

Text Analysis is about parsing texts in order to extract machine-readable facts from them. The purpose of Text Analysis is to create structured data out of free text content. The process can be thought of as slicing and dicing heaps of unstructured, heterogeneous documents into easy-to-manage and interpret data pieces. 

The central challenge in Text Analysis is the ambiguity of human languages. Most people in the USA will easily understand that “Red Sox Tame Bulls” refers to a baseball match. Not having the background knowledge, a computer will generate several linguistically valid interpretations

Text Analytics involves a set of techniques and approaches towards bringing textual content to a point where it is represented as data and then mined for insights/trends/patterns.

Companies use Text Analysis to set the stage for a data-driven approach towards managing content. The moment textual sources are sliced into easy-to-automate data pieces, a whole new set of opportunities opens for processes like decision making, product development, marketing optimization, business intelligence and more.

Using Text Analysis is one of the first steps in many data-driven approaches, as the process extracts machine-readable facts from large bodies of texts and allows these facts to be further entered automatically into a database or a spreadsheet. 

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