Text Analytics with Python: a Case Study
jeudi 2 mai 2019 à 10:00–10:45 EDT
Room 313/314
Session Abstract
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.
Program Track
General / Strategic
Target Audience Skill Level
None — General Audience
Keywords
Data All Around Us
Presenters
Yongming Wang, The College of New Jersey
Panel Moderator
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