Road Traffic Alerts By Improving NLP

Lieferzeit: Lieferbar innerhalb 14 Tagen

49,90 

ISBN: 3330047356
ISBN 13: 9783330047358
Autor: Shanmugasundaram, Singaravelan/D, Arun Shunmugam/P, GopalSamy
Verlag: LAP LAMBERT Academic Publishing
Umfang: 96 S.
Erscheinungsdatum: 12.03.2017
Auflage: 1/2017
Format: 0.6 x 22 x 15
Gewicht: 161 g
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 2133641 Kategorie:

Beschreibung

In this book, we propose a novel framework for tweet segmentation in a batch mode, called HybridSeg. Out of many issues we face in transportation today, road traffic has become the most crucial issue that directly affects our lives and economy. Despite of many implemented and progressing solutions, this issue seems to be remaining in a significant level in many countries and regions. HybridSeg finds the optimal segmentation of a tweet by maximizing the sum of the stickiness scores of its candidate segments. The stickiness score considers the probability of a segment being a phrase in English and the probability of a segment being a phrase within the batch of tweets.

Autorenporträt

Singaravelan Shanmugasundaram received the PhD,M.E & B.E in CSE , CSE & ECE from Manonmaniam Sundaranar University, Tirunelveli,in the year of 2016 , 2007 & 2004. Currently he is a Associate Professor in Computer Science and Engineering Department of P.S.R.Engineering College, Sivakasi, India. Area of Interest is DIP, Data mining, CBIR.

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