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Comparative Analytical Study for News Text Classification Techniques Applied for Stock Market Price Extrapolation

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Smart Trends in Information Technology and Computer Communications (SmartCom 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 628))

Abstract

The current technological growth is tremendous so people are too much attached with technology. The most popular investing money portfolio is stock market and it’s too dynamic in nature so the risk is also high to loss the money. Now days lots of research ongoing to predict the price. This study considers news impact as semantic analysis and as a technical view stock prices and index is measured. The text mining is one of the latest technologies to perform textual based analysis. There are many techniques available to perform auto news classification which is one most important phase in this research work. This paper focus on comparative study about different available techniques for semantic analysis by measuring different parameters like the accuracy, the data set used. This paper concludes with best news classification approach for stock price prediction.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Ganpat University, Ganpat Vidyanagar, Mehsana, 384012, Gujarat, India

    Hiral R. Patel

  2. Faculty of Computer Applications, Ganpat University, Ganpat Vidyanagar, Mehsana, 384012, Gujarat, India

    Satyen Parikh

Authors
  1. Hiral R. Patel
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  2. Satyen Parikh
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Corresponding author

Correspondence to Hiral R. Patel .

Editor information

Editors and Affiliations

  1. Stanford University, Stanford, CA, USA

    Aynur Unal

  2. IT Buzz Limited, Dagenham, UK

    Malaya Nayak

  3. Microsoft Innovation Centre, Sri Aurobindo Institute of Technology, Indore, Madhya Pradesh, India

    Durgesh Kumar Mishra

  4. Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh

  5. Sabar Institute of Technology, Sabarkantha, India

    Amit Joshi

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© 2016 Springer Nature Singapore Pte Ltd.

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Patel, H.R., Parikh, S. (2016). Comparative Analytical Study for News Text Classification Techniques Applied for Stock Market Price Extrapolation. In: Unal, A., Nayak, M., Mishra, D.K., Singh, D., Joshi, A. (eds) Smart Trends in Information Technology and Computer Communications. SmartCom 2016. Communications in Computer and Information Science, vol 628. Springer, Singapore. https://doi.org/10.1007/978-981-10-3433-6_29

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  • DOI: https://doi.org/10.1007/978-981-10-3433-6_29

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3432-9

  • Online ISBN: 978-981-10-3433-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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