The Design And Implementation Of The Mobile Word Of Mouth Analysis System

The rapid development of the Internet and e-commerce today, the network has become a platform which allows the business and consumer publish news, receiving messages, spread messages and so on. In recent years, with the development of social media networks, people became accustomed to express their views and opinions on the Internet, these views and opinions are widespread by the huge spread of power through the Internet, and forming a network word of mouth. Well-known companies began to realize that the network contains a huge amount of energy, including not only e-commerce, but also contains a huge information of network word of mouth.Word of mouth analysis means that consumers can collect product information and discussion topics provided by other consumers through browse, and give consumers the ability to target specific topics share their own experiences, opinions and knowledge, this is how the formation of the word of mouth. Silverman scholars believe that the reason why there is the power of word of mouth to spread the word that is credible and independent, this credible and independent sources can provide indirect consumer experience for consumers, thereby reducing the risk of consumer purchase. As the network word of mouth is formed spontaneously by users, so IWOM play this an extremely important role in decision-making and influence consumer behavior change, etc. It makes a huge influence of major companies and businesses started to pay attention and word of mouth to collect network information. Only full attention IWOM product information, so that enterprises can obtain that rivals the initiative, is an important weight in the future competitive win.Mobile Internet era, the rapidly growing popularity of smart phones, a sharp increase in the number of mobile phone users, China Internet Network Information Center (CNNIC) report shows that in 2014 China’s mobile phone users reached 527 million. Phone is an industry whose products replacement fast, and has huge market demand, and competition among its peers is also very intense. Although the major mobile phone manufacturers have begun to realize the importance of the mobile phone network brand word of mouth, but how to get accurate and valid mobile word of mouth information, there is not a good solution. Internet in the dissemination of information but also makes a lot of information becomes cluttered, mixed with a lot of information in spam and invalid information. Mobile phone companies for mobile phone users on the Internet to collect information and comments integration work is extremely difficult, if collect and collate information Comment by artificial means will spend a lot of human resources and time costs, is an almost impossible task. Hence the need for a system capable of massive commentary information on the Internet automatically crawl and analysis, extract the useful information, will integrate this information available to the mobile phone manufacturers can develop routes and corporate marketing strategy for its future products from to be very helpful.In response to these problems, with the current mobile phone industry update speed and word of mouth marketing is important, this paper designed and implemented a web-based mobile phone word of mouth analysis system. The system uses web crawler to get a massive commentary and these crawled down data will really helpful for word of mouth analysis. Also, the system use of opinions Chinese information processing technology in the field of mining and emotional polarity analysis to extract and analyze information in the comments useful information and the use of dictionaries and parsing the emotional feelings tend to make predictions for comment, after a summary of these results and results combined according to a different dimension, we will get the result.