Research Article
Users’ Topic Detection from Tweets based on Keyword Extraction
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 167 - Issue 9 |
| Published: Jun 2017 |
| Authors: G. Hemantha Kumar, Seyedmahmoud Talebi, Manoj K. |
10.5120/ijca2017914382
|
G. Hemantha Kumar, Seyedmahmoud Talebi, Manoj K. . Users’ Topic Detection from Tweets based on Keyword Extraction. International Journal of Computer Applications. 167, 9 (Jun 2017), 32-35. DOI=10.5120/ijca2017914382
@article{ 10.5120/ijca2017914382,
author = { G. Hemantha Kumar,Seyedmahmoud Talebi,Manoj K. },
title = { Users’ Topic Detection from Tweets based on Keyword Extraction },
journal = { International Journal of Computer Applications },
year = { 2017 },
volume = { 167 },
number = { 9 },
pages = { 32-35 },
doi = { 10.5120/ijca2017914382 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2017
%A G. Hemantha Kumar
%A Seyedmahmoud Talebi
%A Manoj K.
%T Users’ Topic Detection from Tweets based on Keyword Extraction%T
%J International Journal of Computer Applications
%V 167
%N 9
%P 32-35
%R 10.5120/ijca2017914382
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper, a different approach for detecting users’ topic of interest in twitter based on keyword extraction methods and neural network has been shown. An approach to Text Mining is proposed by extracting the topics relevant to some keywords and further used in predicting topics from users’ tweets (Twitter posts). The TF-IDF method has been used to extract keywords in this work. The proposed method, which uses neural network, has been shown to be efficient for topic detection and further comparison. Back propagation method is used to train and to learn the neural network.
References
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