This chapter presents a method for analyzing text data called topic modeling and applying it to the field of Library and Information Science. It describes the importance and usage of topic mining for researchers and librarians. An experiment study is also covered which applies topic modeling in a real scenario, where five model topics for the articles published in DESIDOC Journal of Library and Information Technology for the year 2017 using Topic-Modeling-Toolkit and prediction modeling is constructed using RapidMiner toolbox
Topic models are a well known clustering approach for textual data, which provides promising applica...
Researchers and journal managers need summary information, such as research maps and trends. Topic a...
A lot of text data is being generated on the web in the form of scholarly articles, doctoral thesis,...
This study investigates the evolution of information science research based on bibliometric analysis...
Electronic Theses and Dissertations (ETDs) poses the challenge of managing and extraction of appropr...
The information explosion in the form of ETDs poses the challenge of management and extraction of ap...
It is estimated that the world’s data will increase to roughly 160 billion terabytes by 2025, with m...
It is estimated that the world’s data will increase to roughly 160 billion terabytes by 2025, with m...
In this study, we used the approach of topic modeling to uncover the possible structure of research ...
We provide a brief, non-technical introduction to the text mining methodology known as topic modelin...
The objective of this study is to identify the major topics over time of 4 selected journals in the ...
We provide a brief, non-technical introduction to the text mining methodology known as topic modelin...
In the Humanities and Social Sciences, there is increasing interest in approaches to information ext...
Increasingly, management researchers are using topic modeling, a new method borrowed from computer s...
The objective of this study is to identify the major topics over time of 4 selected journals in the ...
Topic models are a well known clustering approach for textual data, which provides promising applica...
Researchers and journal managers need summary information, such as research maps and trends. Topic a...
A lot of text data is being generated on the web in the form of scholarly articles, doctoral thesis,...
This study investigates the evolution of information science research based on bibliometric analysis...
Electronic Theses and Dissertations (ETDs) poses the challenge of managing and extraction of appropr...
The information explosion in the form of ETDs poses the challenge of management and extraction of ap...
It is estimated that the world’s data will increase to roughly 160 billion terabytes by 2025, with m...
It is estimated that the world’s data will increase to roughly 160 billion terabytes by 2025, with m...
In this study, we used the approach of topic modeling to uncover the possible structure of research ...
We provide a brief, non-technical introduction to the text mining methodology known as topic modelin...
The objective of this study is to identify the major topics over time of 4 selected journals in the ...
We provide a brief, non-technical introduction to the text mining methodology known as topic modelin...
In the Humanities and Social Sciences, there is increasing interest in approaches to information ext...
Increasingly, management researchers are using topic modeling, a new method borrowed from computer s...
The objective of this study is to identify the major topics over time of 4 selected journals in the ...
Topic models are a well known clustering approach for textual data, which provides promising applica...
Researchers and journal managers need summary information, such as research maps and trends. Topic a...
A lot of text data is being generated on the web in the form of scholarly articles, doctoral thesis,...