Abstract: At present people are using various online platforms for discussion purpose. We can ask questions and get answers to our questions for other people using that platform. Some of these platforms are: Quora, face book pages, Google plus, etc. and these questions are from various fields like politics, science and technology, sports, entertainment, education, etc.. the answers that we get on these platforms are mainly in the form of comments that include text data. To get a complete understanding of what is going on the user have to read all the comments and some of this comments can even have same content. It is wastage of time and energy and still the user doesn't get the answer that he is looking for. A way to provide better solution to these questions is to analyze the text data and generate a report of it. Report will be the summarized version of the entire conversation. We have tried to do this with the help of text mining techniques to extract information from these user responses and generate report having pie charts or graphs. the way asking question is in the form of multiple choice questions. The person posting question will post the question along with some option that he can think of as answers to the his question. The users submitting responses can select from the pre-defined options or can submit a new response. Whether to add that option or ignore it will be up to the owner of the question. Depending on few parameters report will be generated that can be referred by the user at any time. It will save the user from the headache of reading the entire conversation. It will be a free platform developed in android. It will require a working internet connection. At present it will be used as a simple report generation platform but in future depending upon the user base it can extended for survey and research purpose by individuals and many different organization.
Keywords: K-means; NLP; Clustering; Opinion mining.
Title: My Opinion: AnRGE to Enrich Your Knowledge
Author: Shubhankar V. Mujumdar, Manish Kumar, Rohit More, Sudarshan Mane, Mr. Sagar Salunke
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
Research Publish Journals
