Sentiment Analysis of Android Application Feedback Data using Hadoop

Abstract: In today�s highly developed word every person in society are express themselves via various number of medium on the internet every minute. At the every minute the large number of heterogeneous data is generated. This data may be in text format which are retrieved from forums and the social media websites. This data is also called as unstructured data. The thought of users related to the particular application or the topics like politics, economics, social affairs and products. These are extract from various type of technologies for the highly importance to make the forecast for one-to-one consumer marketing. In this paper we propose the analysis of the �Is selected android application genuine or fraud by android application users through their in order to mine what they think. Hence we are using hadoop framework for sentimental analysis which will process the large amount of data on a hadoop cluster faster.

Keywords: Sentiment analysis, Information extraction, Big Data, Hadoop, Stemming Algorithm, Tokenization, NLP.