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Reseach Article

Prediction and Analysis for Stock Market using Web-Mining

Published on April 2016 by Rachana Pathak, V.v. Bag
National Seminar on Recent Trends in Data Mining
Foundation of Computer Science USA
RTDM2016 - Number 1
April 2016
Authors: Rachana Pathak, V.v. Bag
0d7a1ff4-cc20-4522-87da-3e0001fe71a1

Rachana Pathak, V.v. Bag . Prediction and Analysis for Stock Market using Web-Mining. National Seminar on Recent Trends in Data Mining. RTDM2016, 1 (April 2016), 1-2.

@article{
author = { Rachana Pathak, V.v. Bag },
title = { Prediction and Analysis for Stock Market using Web-Mining },
journal = { National Seminar on Recent Trends in Data Mining },
issue_date = { April 2016 },
volume = { RTDM2016 },
number = { 1 },
month = { April },
year = { 2016 },
issn = 0975-8887,
pages = { 1-2 },
numpages = 2,
url = { /proceedings/rtdm2016/number1/24677-2561/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Seminar on Recent Trends in Data Mining
%A Rachana Pathak
%A V.v. Bag
%T Prediction and Analysis for Stock Market using Web-Mining
%J National Seminar on Recent Trends in Data Mining
%@ 0975-8887
%V RTDM2016
%N 1
%P 1-2
%D 2016
%I International Journal of Computer Applications
Abstract

The goal is to design a recommendation system so that we can provide investors with the latest updates and to encourage maximum investors to participate in online trading without the need for profound technical expertise. Investors in Stock Market needs expert advice and are strongly influenced by what people in the throng think about. Stock reviews from online groups or troop are valuable to take investment decisions. In order to support investors for daily updates, there is a need to develop a system that allows investors to include the crowd's recommendations in making investment decisions and using it further to manage a portfolio.

References
  1. TechnischeUniversitatDarmstadt,Hochschulstrabe1,64289 Darmstadt,Germany©2013 Elsevier B. V. All rights reserved.
  2. Dept. of Computer Science, Stony Brook University, Stony Brook, NY 11794-4400, USA
  3. B. Pang and L. Lee, "Opinion Mining and Sentiment Analysis," Foundations and Trends in Information Retrieval, vol. 2, nos. 1–2, 2008, pp. 1–135.
  4. http://arxiv. org/ftp/arxiv/papers/1401/1401. 2618. pdf
  5. B. Liu,M. Hu, and J. Cheng. opinionobserver:analyzing and comparing opinions on the web. In International Conference on World Wide Web,2005
  6. Philips S. Yu Ding Xiaowen,Liu Bing. A holistic lexicon-based approach to opinion mining. WSDM'08, 2008.
  7. Bruce J. Vanstone, Gavin Finnie and Clarence Tan. pdf
Index Terms

Computer Science
Information Sciences

Keywords

Recommendation System Stock Market Crawler Technical Index Review Index