Opinion Mining in Hindi has Emerged as a New Area of Research

It is important to determine what a website wants from the website visitors, as well as understanding who

This section discuss about the common traits or ideas observed in the three research topics. Although, each of the three articles discuss a unique idea, all of them are aimed at utilizing the web data to produce better results. Web data mining is a hot research topic in the current realm of big data. These papers discuss about the utilization of the valuable user generated data from the social media or the browser cookies to provide the best user experience in order to maintain the user interest in the company's product or to take effective decisions by an individual. All the three articles propose an idea to solution the problem stated, compared their results to the existing models and showed significant improvement.

Here we discuss about the common traits or ideas observed in the three research topics. Although, these three papers discuss about different ideas, they all fall under the web data mining domain. web data mining is a hot research topic in the current realm of big data. These papers discuss about the utilisation of the valuable user generated data from the social media or the the browser cookies to provide the best user experience in order to maintain the user interest in the company's product or to take effective decisions by the individual.

Social media: new platform for intelligence, help business identify customer’s view about performance and customer relationship of business in the market.

Women all over this world have been mistreated in every way possible. The Declaration of Sentiments and Declaration of rights promotes equality for women in every way possible. The founding mothers modeled their statements after the Declaration of Independence to show the importance of this document, however this deliberate illusion suggest how America mirrors Great Britain in the face of women. America has been bias against women and girls. America is dominated by males. The Government has laws that conflicts with the true happiness of women for example birth control pillls. the legal standing and treatment for women was classified as un-Americanized due to the fact that women had no legal rights to own property, had no right to vote, earn

As a test set, a total of 3,000 terms were randomly selected from the generated sentiment

Facts may be facts but it is how one interprets data that makes the difference.

As in our study, LDA topics has improved accuracy of finding the keywords for different topics.In this work we examine the social aspects of food tweeting behavior, and provide some support to the social affinity that is not local in geographic sense. There have been several recent studies that probe the viability of public health surveillance by measuring relevant textual signals in social media.Prier, K.W.Smith, M.S.Giraud-Carrier, C. L. Hanson[5] examine all words people use in online reviews, and draw insights on correlating terms and concepts that may not seem immediately relevant to the hygiene status of restaurants. The work draws from the rich body of research that studies online reviews for sentiment analysis based on few research papers.

In his resourceful article “Opinions and Social Pressure”, social psychologist Solomon E. Asch examines how societal pressures affect an individual's decision-making process. The research and evidence gathered by Solomon E. Ash indicate that people will abandon their own analysis and agree with the majority, even if the majority group is incorrect.

It is used to understand the emotion conveyed in a textual message. It involves identifying the opinion, extracting the features or objects for which the opinion is expressed and then categorizing the opinion as a positive, negative or neutral and thus assigning it a polarity (Liu 2010). The growth in social media provides a wider platform which has allowed for an abundance in the expression of opinions, including product reviews, blogs, and discussion groups or simply as comments and tweets. Different techniques for sentiment analysis use Natural Language processing and machine learning perform Sentiment analysis on the large quantities of data available on the social media networks.

In this paper, it will figure the benefits of data mining to the businesses when employing on predictive analytics to understand the behavior of customers, association finding into products sold to customers, web mining to find business knowledge from Web customers, and clustering to find related customer information. It will assess the reliability of the data mining algorithms, and to decide if they can be trusted and predict the errors they are likely to produce. It will analyze privacy concerns raised by the collection of personal data for mining purposes. It will give at least three examples where businesses have used prognostic analysis to gain a competitive advantage and check the effectiveness of each business strategy.

There are many objectives of data mining like transform raw data into beneficial knowledge, calculation (analytical data mining is common type of data mining and has most direct business application). This makes it difficult for a potential customer to read them in order to make a decision on whether to buy the product. Usually seller who wants to sell products on the Web ask their customers to comment and opinion for the products and services. As e-commerce is becoming more and more popular, the number of customer reviews that a product receives grows rapidly. For a popular product, the number of reviews can be in hundreds. This summarization task is unlike traditional text summarization because it is only involved in the exact features of the product that customers have opinions on and also whether the opinions are positive or negative. Do not summarize the reviews by selecting or rewriting a subset of the original sentences from the reviews to capture their main points as in the classic text summarization. A number of procedures are presented to mine such features. Stage for customer’s review mining:

With the development of the Web 2.0 which made Internet participative, the Internet users are now capable of expressing themselves, interacting, and giving their opinion onto everything (products, services, brands, companies, cultural property) and on everybody, via multiple platforms on Internet. To criticize a restaurant on Cityvox, to note a seller on eBay, to denounce the actions of a brand or a company via a viral video on YouTube, to support a candidate for an election, to

The first problem was to find all of these customers who were expressing their “pain” on the web and then to allocate their attention on to them. The second problem was to develop a process that operationalized the problem resolution and made it traceable and scalable. To overcome these problems, Debatescape used powerful tools such as RSS feeds, open application programming interfaces (APIs), and content-scraping tools to obtain and pool user-generated content from online forums, blogs, and social networking sites such as Twitter, Facebook and YouTube. However, this content needs to be classed in different categories. Debatescape uses a natural language analyzer to help classify the content into various categories to be then sorted and sent to the correct customer service agent in either BT Consumer or BT Business department. Afterwards, BT agents

Opinions always play an important role in decision making. Businesses seek consumer opinions about their products and services to improvise them, consumers seek opinions of other consumers to get the best deal. Governors and policy makers of the country also need to consider opinions of the masses before making some decisions. Emergence of social networking sites, blogs, forums, e-commerce websites have provided internet users with a platform where they can express their opinions. Thus a huge source of opinions, views, and sentiments has been created and is being updated every day. The