Recommendation for Selecting Smart Village in India through Opinion Mining Using Big Data Analytics

Recommendation for Selecting Smart Village in  India through Opinion Mining Using Big Data Analytics

Pooja B. Sharma, Prof. Dr. P.L. Ramteke

M.E, Department of Computer Science & Engineering, HVPM’s College of engineering & technology, Amravati.

Abstract— In India, most of the people are staying in below poverty line. Nowadays, village people are also most inadequate with mobile phones. To develop this village as smart, we emphasize on different factors like agriculture, employment, nutrition security, environment, natural resource utilization, and conservation, etc. We select smart village based on collection of different opinion from village people in terms of forms, questionnaire, views and surveys, etc. Opinion mining extracts useful knowledge about village from ample of opinions. This mining process gives us a right direction for creating smart village. In this paper, we are trying to create digitalized village which is basically an application of Information and Communications Technology to define the major function of Government in order to bring about Small, Moral, Accurate, Reliable and Transparent. To get accurate response, we use big data analytic concept after mining opinions using map reduce approach. Keywords Big data analytics Map reduce Opinion mining Smart village.

Keras Dataset keras dataset module provides a few toy datasets (already-vectorized, in Numpy format) that can be used for debugging a model or creating simple code examples. If you are looking for larger & more useful ready-to-use datasets, take a look at Tensor Flow Datasets.

Keywords: Keras dataset, Map reduce, Opinion mining, smart village.