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Text Analytics with Python: a Case Study

Wang, Yongming (2019) Text Analytics with Python: a Case Study. In: ELUNA 2019 Annual Meeting, April 29-May 3, 2019, Atlanta, GA.

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The purpose of text analytics, or text mining, is to gain insight and knowledge from the unstructured textual data by using a series of processing methods and analyzing applications. Our pilot project involves developing a suite of Python scripts for text data processing and analysis. Using these scripts requires no installation of any software or libraries, and the users need no previous knowledge of Python or any advanced computing skills. In our presentation, we will talk about the general concept of text analytics and the need for text analytics for researchers and librarians. We will also present the Python scripts we developed so far, along with their use cases.

Item Type:Conference or Workshop Item (Other)
Event Title:ELUNA 2019 Annual Meeting
Subjects:General Topics
Divisions:ELUNA Conference Proceedings
ID Code:1827
Deposited By: Eluna Programs
Deposited On:07 Jun 2019 00:20
Last Modified:07 Jun 2019 00:20

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