NDLI: Text mining: Finding hot topics TF∗PDF vs. LSI

Content Provider	IEEE Xplore Digital Library
Author	Katyayani, J. Sriharsha, A.V. Sudhir, B.
Copyright Year	2009
Description	Author affiliation: Sri Venkateswara University, Tirupati, India (Sudhir, B.) \|\| Sree Vidyanikethan Engineering College, Tirupati, India (Sriharsha, A.V.) \|\| Sri Padmavathi Mahila Visva Vidyalayam, Tirupati, India (Katyayani, J.)
Abstract	With the vast amount of digital text materials available on the Net, it is almost impractical for people to absorb all related information in a timely manner. This problem has been overcome by erstwhile researchers and scientists of data mining. The efficiency in the methods and exploratory analysis has to be ascertained yet. Document wise term frequencies and inverted frequencies are available to calculate the statistical importance among the documents. Determining the time line importance of the documents plays very essential role than just finding the document's importance. LSI is a basic PCA approach, which is proposed with time-line approach and has been discussed comparatively in this paper.
Starting Page	526
Ending Page	529
File Size	701130
Page Count	4
File Format	PDF
ISBN	9781424449019
DOI	10.1109/IDAACS.2009.5342925
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-21
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Text mining Large scale integration Data mining Event detection Frequency Conferences Data acquisition Educational institutions Intelligent systems Explosions IR dimensionality reduction latent-semantic indexing
Content Type	Text
Resource Type	Article

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