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Abstract

Presently, many researching fields are crossed and mashed up to each fields, however, some of computer science fields cannot be solved by technique only. Opinion mining sometimes needs a solution from other fields, too. For example, we use a method from psychology to gain information from text about users. Likewise, we suggested a new method of opinion mining which is using MapReduce before, and this method also uses a WordMap which is dictionary-like. WordMap just has information of category and value of word. If we use a novel method of Opinion mining, it could be mining opinion from web more powerful than before. Therefore, for stronger opinion mining, we suggest a framework of Opinion mining in MapReduce.

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Cho, K.S., Lim, J.Y., Yoon, J.Y., Kim, Y.H., Kim, S.K., Kim, U.M. (2011). Opinion Mining in MapReduce Framework. In: Lee, C., Seigneur, JM., Park, J.J., Wagner, R.R. (eds) Secure and Trust Computing, Data Management, and Applications. STA 2011. Communications in Computer and Information Science, vol 187. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22365-5_7

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  • DOI: https://doi.org/10.1007/978-3-642-22365-5_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22364-8

  • Online ISBN: 978-3-642-22365-5

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