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Filtering by: "digitalpublishing@northwestern.edu" Type Work Subject Industrial Engineering and Management Sciences

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Industrial Engineering and Management Sciences

Description:

Unstructured data like text is plentiful and possibly contains valuable insights leading to a better decision-making process. Manually obtaining these insights can be costly and time-consuming. Text mining, also known as Text analytics, is developed to derive meaningful information from textual data. It is widely applied in various domains such...

Keyword:

Text analytics, Information retrieval, Text mining, Machine learning, and Document classification

Subject:

Industrial Engineering and Management Sciences

Creator:

Papis Wongchaisuwat

Owner:

Scholarly Digital Publishing

Date Uploaded:

02/22/2019

Date Modified:

02/22/2019

Date Created:

2018-01-01

Resource Type:

Dissertation
Selected Topics in Deep Learning and Text Mining

Description:

The thesis contains all four chapters of my Ph.D. research on deep learning and text mining. The first chapter, "Temporal Topic Analysis with Endogenous and Exogenous Processes'', proposes a topic model which mines temporal economy-related documents with an exogenous economic indicator, and finds the relationship between document topics and the...

Keyword:

deep learning and text mining

Subject:

Industrial Engineering and Management Sciences

Creator:

Baiyang Wang

Owner:

Scholarly Digital Publishing

Date Uploaded:

02/15/2019

Date Modified:

02/15/2019

Date Created:

2017-01-01

Resource Type:

Dissertation
Operations Research Techniques in Data Limited Environments: Applications in Public Services

Keyword:

Industrial Engineering and Management Sciences

Subject:

Industrial Engineering and Management Sciences

Creator:

Kezban Yagci Sokat

Owner:

Scholarly Digital Publishing

Date Uploaded:

01/25/2019

Date Modified:

01/25/2019

Date Created:

2017-01-01

Resource Type:

Dissertation

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Selected Topics in Deep Learning and Text Mining

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