Abstract:
Every social networking site are generating a huge amount of data in every second.A
lots of innovations are coming to the industry to develop new ways of communica-
tions between consumer and start-up business opportunity.Sentiment Analysis is
the recent research area in data mining.In our work ,we implement the algorithm
namely Natural Language Processing(NLP) on social networking data by sentiment
analysis.We take twitter as a social networking site and for data analysis takes
two product iPhone vs Samsung.Also the comparison between the python built-in
library "TextBlob" and Natural Language Processing.The comparison is showing
by evaluating the polarity of the tweet as positive and negative towards a particular
device.Consumer can be informed their choice according to the general sentiment
expression from the other Twitter users on various product.
Description:
This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electronics and communication Engineering of East West University, Dhaka, Bangladesh