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With the rapid development of the World Wide Web, electronic word-of-mouth interaction has made consumers active participants. Nowadays, a large number of reviews posted by the consumers on the Web provide valuable information to other consumers. Such information is highly essential for decision making and hence popular among the internet users. This information is very valuable not only for prospective...
Opinion mining provided less opportunity to discuss their experiences about drugs so reviewing about it was difficult. Recent findings show that online reviews and blogs on drugs are important for patients, marketers and industries. Collecting the information for drugs from the website and analyzing is a challenge. A model is designed by proposing an algorithm which crawls information from the web...
The web has become an indispensable global platform that glues together daily communication, sharing, trading, collaboration and service delivery. Web users often store and manage critical information that attracts cybercriminals who misuse the web and the internet to exploit vulnerabilities for illegitimate benefits. Malicious web pages are transpiring threatening issue over the internet because...
Email service proves to be a convenient and powerful communication tool. As internet continues to grow, the type of information available to user has shifted from text only to multimedia enriched. Embedded text in multimedia content is one of the prevalent means for delivering messages to content viewers. With the increasing importance of emails and the incursions of internet marketers, spam has become...
Email proves to be a convenient and powerful communication tool but it has given rise to unwanted mails. Spam mails leads to wastage of server storage space, consumption of network bandwidth and heavy financial losses to the organization, thus a serious research issue. Filtering mails is one of the popular approaches used to block spam mails. In this work, we propose RePID-OK (Repetitive Preprocessing...
Opinions are highly essential for decision making and popular among the internet users. People with malicious intentions tend to give fake reviews to encourage or degrade the products. Reviewing movies is gaining popularity among web users, at the same time cannot be trusted. In this work, we propose a model Sentiment Classification of Movie Reviews using Efficient Repetitive Pre-processing (SentReP)...
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