Road Traffic Alerts By Improving NLP

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.

Autorentext

Singaravelan Shanmugasundaram ha conseguito il PhD, il M.E e il B.E in CSE, CSE e ECE presso la Manonmaniam Sundaranar University, Tirunelveli, negli anni 2016, 2007 e 2004. Attualmente è professore associato presso il Dipartimento di Informatica e Ingegneria del P.S.R.Engineering College, Sivakasi, India. L'area di interesse è DIP, Data mining, CBIR.