SENTIMENT ANALYZER AND OPINION

MINING ON TWITTER DATA STREAM

Name of supervisor -Ms. Akanksha Bhardwaj

Name of Student -Saumya Chaturvedi

( 9910103430)

MAJOR PROJECT

On

Agenda..

Objective

Working

Modules in the Project wrt Design

Control Flow Diagram

Sequence Design

Software requirements

Future Scope

Conclusion

Objective

Stream twitter data on a particular topic on real time basis

Checking for semantic orientation of this data efficiently using

supervised learning approach.

Modules in the Project wrt Design

PYTHON PROGRAMMING LANGUAGE TOOLS

Python programming language was chosen because the

existing systems are programmed in Python, therefore using the

same language is natural. The availability of modules that

helped in the development process contributed to choosing the

language. Python offers good portability across different

environments. The tools used include NeuroLab library which

provides pre-existing neural network algorithms implemented in

Python, and Natural Language Toolkit that was used for Part-of-

Speech tagging

Natural Language Toolkit

Natural Language Toolkit (NTLK) is an open source library,

distributed under Apache 2.0 license, multiplatform collection of

tools and modules for natural language processing and text

analysis, available in Python programming language. It provides a

large set of tools and algorithms for text tokenization, stemming,

tagging, chunking, parsing, classification, clustering,

measurements and semantic interpretation. It also provides an

access to many text corpora and lexicon. In this work, NLTK is

used part-of-speech tagging from documents.

Tweepy

Tweepy is one of python’s open source

libraries which play an important role in this

project. It is used to stream twitter data stream

on a real time basis. It is hosted on GitHub and

enables Python to communicate with Twitter

platform and use its API

Control flow diagram

Requirements

Software Interface:

Python(Version Number: 2.7)

Tweepy

NLTK Library

Future Scope

Our review-oriented website would serve as an efficient

tool for media analysis on various products.

This idea can also be extended in a way to serve as an

effective review-summarizer that would not only produce

the poll result of the reviews but would, also summarize

the text of various review in simple words for the user.

Conclusion

This project can directly affect the industry’s time and

performance, in terms of the customer relationship.

It is possible to know what user wants to express by

their reviews. That is what is the concept of –

“Sentiment Analyzer”.