Abstract:

Right now, the amount of data available on the internet is growing at an exponential rate. Social media generates a lot of data every day, like customer feedback, reviews, and comments. This huge measure of client produced information has no worth except if certain mining procedures are applied. To hear a genuine point of view, the assessment mining procedure should incorporate Spam recognition since there are many fake surveys. Many people today use social media views to decide whether to buy goods or services. Due to the large number of fake or bogus reviews published by businesses or individuals for various purposes, identifying opinion spam is a timeconsuming and challenging process. To advance or mischief their notorieties, they compose counterfeit surveys to delude perusers or mechanized location frameworks by raising or corrupting specific items. Cosmology, geolocation and IP address following, a Nave Bayes-based word reference of spam terms, brand-just survey discovery, and record observing are all essential for the proposed approach. The majority of people desire accurate product information from online sources. They may read the numerous reviews on the website prior to making a purchase of a particular product. They were unable to determine whether the item was genuine or counterfeit in this instance. Some website reviews are generally excellent; They are posted by corporate technical staff to advertise the product. These individuals provide evaluations with a high grade from their own company and are members of media and social organization teams. Customers on the internet were unable to identify the counterfeit goods due to the fabrication of the website evaluations. A well-known product might have thousands of reviews. Because of this, it is difficult for potential customers to read them and decide whether or not to buy the products. The manufacturer of the product faces challenges in managing and tracking consumer opinions. In addition, the manufacturer faces additional challenges due to the fact that the manufacturer frequently produces a diverse range of products and that numerous other merchant websites may offer the same product with high ratings. We want to compare products based on reviews and summarize all of a product's customer reviews in this study. This assignment is different from the usual text summarizing because we only look for information about the product that customers have said they liked or disliked. Index Terms : opinio

Description:

opinion mining, spam detection, and naive Bayes