TextQ—A User Friendly Tool for Exploratory Text Analysis
As the amount of textual data available on the Internet grows substantially each year, there is a need for tools to assist with exploratory data analysis. Furthermore, to democratize the process of text analytics, tools must be usable for those with a non-technical background and those who do not ha...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2078-2489/12/12/508 |
| _version_ | 1797503664452009984 |
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| author | April Edwards MaryLyn Sullivan Ezrah Itkowsky Dana Weinberg |
| author_facet | April Edwards MaryLyn Sullivan Ezrah Itkowsky Dana Weinberg |
| author_sort | April Edwards |
| collection | DOAJ |
| description | As the amount of textual data available on the Internet grows substantially each year, there is a need for tools to assist with exploratory data analysis. Furthermore, to democratize the process of text analytics, tools must be usable for those with a non-technical background and those who do not have the financial resources to outsource their data analysis needs. To that end, we developed TextQ, which provides a simple, intuitive interface for exploratory analysis of textual data. We also tested the efficacy of TextQ using two case studies performed by subject matter experts—one related to a project on the detection of cyberbullying communication and another related to the user of Twitter for influence operations. TextQ was able to efficiently process over a million social media messages and provide valuable insights that directly assisted in our research efforts on these topics. TextQ is built using an open access platform and object-oriented architecture for ease of use and installation. Additional features will continue to be added to TextQ, based on the needs and interests of the installed base. |
| first_indexed | 2024-03-10T03:53:57Z |
| format | Article |
| id | doaj.art-b2440a839f5d4fb0945d1df5c5e1d1f0 |
| institution | Directory Open Access Journal |
| issn | 2078-2489 |
| language | English |
| last_indexed | 2024-03-10T03:53:57Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj.art-b2440a839f5d4fb0945d1df5c5e1d1f02023-11-23T08:51:30ZengMDPI AGInformation2078-24892021-12-01121250810.3390/info12120508TextQ—A User Friendly Tool for Exploratory Text AnalysisApril Edwards0MaryLyn Sullivan1Ezrah Itkowsky2Dana Weinberg3Cyber Science Department, United States Naval Academy, Annapolis, MD 21402, USACyber Science Department, United States Naval Academy, Annapolis, MD 21402, USACyber Science Department, United States Naval Academy, Annapolis, MD 21402, USASociology Department, Queens College, City University of New York, Queens, NY 11367, USAAs the amount of textual data available on the Internet grows substantially each year, there is a need for tools to assist with exploratory data analysis. Furthermore, to democratize the process of text analytics, tools must be usable for those with a non-technical background and those who do not have the financial resources to outsource their data analysis needs. To that end, we developed TextQ, which provides a simple, intuitive interface for exploratory analysis of textual data. We also tested the efficacy of TextQ using two case studies performed by subject matter experts—one related to a project on the detection of cyberbullying communication and another related to the user of Twitter for influence operations. TextQ was able to efficiently process over a million social media messages and provide valuable insights that directly assisted in our research efforts on these topics. TextQ is built using an open access platform and object-oriented architecture for ease of use and installation. Additional features will continue to be added to TextQ, based on the needs and interests of the installed base.https://www.mdpi.com/2078-2489/12/12/508textual data mininginformation retrievalcyberbullyingsocial media analysis |
| spellingShingle | April Edwards MaryLyn Sullivan Ezrah Itkowsky Dana Weinberg TextQ—A User Friendly Tool for Exploratory Text Analysis Information textual data mining information retrieval cyberbullying social media analysis |
| title | TextQ—A User Friendly Tool for Exploratory Text Analysis |
| title_full | TextQ—A User Friendly Tool for Exploratory Text Analysis |
| title_fullStr | TextQ—A User Friendly Tool for Exploratory Text Analysis |
| title_full_unstemmed | TextQ—A User Friendly Tool for Exploratory Text Analysis |
| title_short | TextQ—A User Friendly Tool for Exploratory Text Analysis |
| title_sort | textq a user friendly tool for exploratory text analysis |
| topic | textual data mining information retrieval cyberbullying social media analysis |
| url | https://www.mdpi.com/2078-2489/12/12/508 |
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