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2018 | OriginalPaper | Chapter

Topic Detection and Tracking in News Articles

Authors : Sagar Patel, Sanket Suthar, Sandip Patel, Nehal Patel, Arpita Patel

Published in: Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 2

Publisher: Springer International Publishing

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Abstract

We have presented an idea in this paper for detecting and tracking topics from news articles. Topic detection and tracking are used in text mining process. From data which are unstructured in text mining we pluck out information which are previously unknown. The objective of this paper is to recognize tasks occurred in different news sources. We are going to use agglomerative clustering based on average linkage for detecting the topics, calculate the similarity of topics using cosine similarity and KNN classifier for tracking the topics.

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Metadata
Title
Topic Detection and Tracking in News Articles
Authors
Sagar Patel
Sanket Suthar
Sandip Patel
Nehal Patel
Arpita Patel
Copyright Year
2018
Book
Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 2

Print ISBN: 978-3-319-63644-3

Electronic ISBN: 978-3-319-63645-0

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-63645-0_48

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