Text Analytics on Un-structured Text Data using ANN
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

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Research Paper | Computer Science & Engineering | India | Volume 4 Issue 6, June 2015

Text Analytics on Un-structured Text Data using ANN

Shiv Kumar Goel, Anil Kumar Bhandi

In todays world of fast growing technology the emerging word Big Data has acquired the attention of major organizations for their business. Most of the data is in unstructured format, interpreting such complex and informal data to take decision is an emerging challenge. The proposed paper is about extracting the useful data and to overcome the major issues in text-usually human errors. There are various human errors and colloquial which reduce the quality of text thus makes the text complex to analyse and weakening the decision making tool. The set of patterns and rules to search the data is limited and restricted whereas the errors made manually can be corrected by methodologies of soft computing especially Artificial Neural network (ANN). The proposed system takes the un-structured text data and using the Natural language processing rectifies the error and corrects it to get the maximum quality in text. The Analytical tools process the text to get the complete report and help in decision making. The neural network plays an important role by learning the errors and developing a training data for the future analysis on new unstructured text.

Keywords: Artificial neural network ANN, supervised learning, unsupervised learning, natural language processing NLP, HADOOP, Big data, Text mining Online transaction processing OLTP, Reinforcement learning, SEO, search engine

Edition: Volume 4 Issue 6, June 2015

Pages: 2315 - 2319

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How to Cite this Article?

Shiv Kumar Goel, Anil Kumar Bhandi, "Text Analytics on Un-structured Text Data using ANN", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB155799, Volume 4 Issue 6, June 2015, 2315 - 2319

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