Subject Sentiment Analysis CODE for Twitter

Why Sentiment Analysis ?

Millions of messages are appearing daily in popular web-sites that provide services for microblogging such as Twitter, Tumblr, Facebook. Authors of those messages write about their life, share opinions on variety of topics and discuss current issues. Because of a free format of messages and an easy accessibility of microblogging platforms, Internet users tend to shift from traditional communication tools (such as traditional blogs or mails) to microblogging services. As more and more users post about products and services they use, or express their political and religious views, microblogging web-sites become valuable sources of people’s opinions and sentiments. Such data can be efficiently used for marketing or social studies.

Source : you can follow this project on my GIthub . -->Click Here<--

"This is sample project to analyze sentiments based on particular subject" We would like to add Facebook Sentiment Analysis based on text and also emotiocon as of now only twitter sentiment analysis available. """"You can also commit to Facebook_Sentiment_Analysis.py using facebook Graph API.""""" In our coming project, we will attach all our code and develop android project. So that we can graphically interact with it.

"How to Run ?""

You can clone and run subject_sentiment_Analysis.py in python using python Subject_sentiment_Analysis.py

You need to install first these python libraries pip install tweepy pip install TextBlob pip install sckit-learn

Use of code is lincensed under MIT Lincense

Applications of Sentiment Analysis Sentiment Analysis finds its application in a variety of domains. 

A. Online Commerce

The most general use of sentiment analysis is in ecommerce activities. Websites allows their users to submit their experience about shopping and product qualities. They provide summary for the product and different features of the product by assigning ratings or scores. Customers can easily view opinions and recommendation information on whole product as well as specific product features. Graphical summary of the overall product and its features is presented to users. Popular merchant websites like amazon.com provides review from editors and also from customers with rating information. http://tripadvisor.inis a popular website that provides reviews on hotels, travel destinations. They contain 75 millions opinions and reviews worldwide. Sentiment analysis helps such websites by converting dissatisfied customers into promoters by analyzing this huge volume of opinions.

B. Voice of the Market (VOM)

Voice of the Market is about determining what customers are feeling about products or services of competitors. Accurate and timely information from the Voice of the Market helps in gaining competitive advantage and new product development. Detection of such information as early as possible helps in direct and target key marketing campaigns. Sentiment Analysis helps corporate to get customer opinion in real-time. This real-time information helps them to design new marketing strategies, improve product features and can predict chances of product failure. Zhang et al.proposed weakness finder system which can help manufacturers find their product weakness from Chinese reviews by using aspects based sentiment analysis. There are some commercial and free sentiment analysis services are available, Radiant6, Sysomos, Viralheat, Lexalytics, etc. are commercial services. Some free tools like www.tweettfeel.com, www.socialmention.com are also available.

C. Voice of the Customer (VOC)

Voice of the Customer is concern about what individual customer is saying about products or services. It means analyzing the reviews and feedback of the customers. VOC is a key element of Customer Experience Management. VOC helps in identifying new opportunities for product inventions. Extracting customer opinions also helps identify functional requirements of the products and some non-functional requirements like performance and cost.

D. Brand Reputation Management

Brand Reputation Management is concern about managing your reputation in market. Opinions from customers or any other parties can damage or enhance your reputation. Brand Reputation Management (BRM) is a product and company focused rather than customer. Now, one-to-many conversations are taking place online at a high rate. That creates opportunities for organizations to manage and strengthen brand reputation. Now Brand perception is determined not only by advertising, public relations and corporate messaging. Brands are now a sum of the conversations about them. Sentiment analysis helps in determining how company’s brand, product or service is being perceived by community online.

E. Government

Sentiment analysis helps government in assessing their strength and weaknesses by analyzing opinions from public. For example, “If this is the state, how do you expect truth to come out? The MP who is investigating 2g scam himself is deeply corrupt.”. this example clearly shows negative sentiment about government. Whether it is tracking citizens’ opinions on a new 108 system, identifying strengths and weaknesses in a recruitment campaign in government job, assessing success of electronic submission of tax returns, or many other areas, we can see the potential for sentiment analysis."# subject_sentiment_analysis"