eprintid: 1827
rev_number: 9
eprint_status: archive
userid: 42
dir: disk0/00/00/18/27
datestamp: 2019-06-07 00:20:30
lastmod: 2019-06-07 00:20:30
status_changed: 2019-06-07 00:20:30
type: conference_item
metadata_visibility: show
creators_name: Wang, Yongming
title: Text Analytics with Python: a Case Study
ispublished: pub
subjects: gen
divisions: eluna_conf
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.
date: 2019-05-02
date_type: completed
full_text_status: restricted
pres_type: other
event_title: ELUNA 2019 Annual Meeting
event_location: Atlanta, GA
event_dates: April 29-May 3, 2019
event_type: conference
refereed: TRUE
citation: Wang, Yongming (2019) Text Analytics with Python: a Case Study. In: ELUNA 2019 Annual Meeting, April 29-May 3, 2019, Atlanta, GA.
document_url: https://beta-documents.el-una.org/id/eprint/1827/1/Text%20Analytics%20with%20Python%20a%20Case%20Study.pdf