ABSTRAT:

Social media have received more attention nowadays. Public and private opinion about a wide variety of subjects are expressed and spread continually via numerous social media. Twitter is one of the social media that is gaining popularity. Twitter offers organizations a fast and effective way to analyze customers’ perspectives toward the critical to success in the market place. Developing a program for sentiment analysis is an approach to be used to computationally measure customers’ perceptions. This paper reports on the design of a sentiment analysis, extracting a vast amount of tweets. Prototyping is used in this development. Results classify customers’ perspective via tweets into positive and negative, which is represented in a pie chart and html page. However, the program has planned to develop on a web application system, but due to limitation of Django which can be worked on a Linux server or LAMP, for further this approach need to be done

EXISTING SYSTEM :

the benefits of participating in social media have gone beyond simply social sharing to build organization’s reputation and bring in career opportunities and monetary income. In addition, mentioned that the social media is also being used for advertisement by companies for promotions, professionals for searching, recruiting, social learning online and electronic commerce. Electronic commerce or E-commerce refers to the purchase and sale of goods or services online which can via social media, such has Twitter which is convenient due to its 24-hours availability, ease of customer service and global reach

EXISTING SYSTEM DISADVANTAGES:

1.LESS ACCURACY

2. LOW EFFICIENCY

PROPOSED SYSTEM :

Twitter is an ideal platform for the extraction of general public opinion on specific issues [9,10]. A collection of tweets is used as the primary corpus for sentiment analysis, which refers to the use of opinion mining or natural language processing [1]. Twitter, with 500 million users and million messages per day, has quickly became a valuable asset for organizations to invigilate their reputation and brands by extracting and analyzing the sentiment of the tweets by the public about their products, services market and even about competitors [12]. [2] highlighted that, from the social media generated opinions with the mammoth growth of the world wide web, super volumes of opinion texts in the form of tweets, reviews, blogs or any discussion groups and forums are available for analysis, thus making the world wide web the fastest, most comprising and easily accessible medium for sentiment analysis

PROPOSED SYSTEM ADVANTAGES:

1.HIGH ACCURACY

2.HIGH EFFICIENCY

SYSTEM REQUIREMENTS
SOFTWARE REQUIREMENTS:
• Programming Language : Python
• Font End Technologies : TKInter/Web(HTML,CSS,JS)
• IDE : Jupyter/Spyder/VS Code
• Operating System : Windows 08/10

HARDWARE REQUIREMENTS:

 Processor : Core I3
 RAM Capacity : 2 GB
 Hard Disk : 250 GB
 Monitor : 15″ Color
 Mouse : 2 or 3 Button Mouse
 Key Board : Windows 08/10