The Importance Of Textual Technology

Nguyen et al \cite{Micro:Ng} generates a summarized version of micro-reviews generated by various users through various social media sites about any

The article discusses the importance of analyzing spam emails, and says it cannot be emphasized enough. Most people tend to get confused between the junk and spam emails. This article focuses on digital investigations of malicious messages and different methods used by criminals in spamming unsuspecting users are also discussed.

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.

While demanding feedback on streaming services is ubiquitous, natural language processing is still the fundamental approach of abstracting useful data social media mining, as a result of the open-ended meaning of feedbacks gained through social media. Even though natural language processing is a field that has been researched since engineers tried to break the Turing Test, it is still impossible to collect accurate data without knowing the positive or negative position the user is in, since the same words and sentences could have different semantic meanings in different situations, such as sarcasm, which is encoded into tone, not word choice, morphology, syntax, or anything that could be resolved in a text message. The current Natural Language Processing approaches to detecting sarcastic sentences either involve ignoring the problem entirely and hoping it doesn 't affect the overall task, or making informed guesses from data mining.

Technology has advanced tremendously over the years especially in our education systems. Educators are now able to serve multiple people because of technology, having the ability to earn higher level of education online is just one example. There are some opposing sides to the rapid advancement of technology in the classroom.

Each day, it is found that all over the world 89 billion business emails are sent and received, and is researched that 72.5 percent traffic of email is spam, whereas malicious files were found to account for 3.4 per cent of all emails (Kaspersky Lab 2012)..

Reviews offer a limited number of opinions, and they generally focus on one particular topic. There is also some bias in the reviews. People who have very strong feelings about something in a company tend to share their opinion in a form of review. Mostly, those reviews display customers’ overwhelming dissatisfaction with something or customers’ excitement about purchased products. Customers’ feeling should be strong enough to give them enough incentive to take their time and write a review. However, this is not the only way to identify customers’ awareness and opinion on companies’ reputation, price, quality, brands, product range, and customer. The social networks can provide us with a variety of opinions that fall in various categories of a conversation. We can compare

Phishing is a social engineering luring technique, in which an attacker aims to steal sensitive information such as online banking passwords and credit card information from users. Phishing is generally carried over electronic communications such as email or instant messaging. A replica of the legitimate site is created and the users are directed to the phishing pages where it required for the personal information. In the past few years we have seen an increase in semantic attacks. The statistics of the anti-phishing working group confirm that finance, insurance, & real estate lead the top ten industries targeted, followed by manufacturing industries. As per the survey done by RSA Fraud Surveyor[14] it is identified that

Social media is one of the vastest forms of promotion (meaning advertising), and sometimes people in the workplace use that to their advantage. In some workplaces people work to promote certain items or services, and sometimes the employees may go to Facebook, Instagram, Twitter, LinkedIn, etc. to help promote their service or item. That is not the issues, the issue comes when company’s pay people to say positive things about the company by leaving fake reviews. This is unethical due to the fact that this is a form of false advertisement,

Abstract — While sentiment analysis provides fantastic insights and has a wide range of real-world applications, the overall sentiment of a piece of text won’t always pinpoint the root cause of an author’s opinion. Certain types of documents, such as movie reviews, may contain fine-grained sentiment about different aspects about the service that are mentioned in text. A review about a movie may contain opinionated sentences about its story, cast and direction. This information can help users understand the positive and negative parts of a movie. Aspect-based sentiment analysis makes it easier to identify and determine the sentiment towards specific aspects in text. To identify different aspects of a movie, the application needs to determine the context of a particular sentence or group of sentences in the movie review. These contextual groupings can then be mapped to various aspects of a movie, hence enabling us to score aspects based on their sentiment.

Opinion mining and sentiment analysis is discussed in chapter 7 of Amy Van Looy’s Social Media Management; Technologies and Strategies for Creating Business Value (pp.133-147) “Opinion mining and sentiment analysis can be defined as processing “a set of search results for a given item,

In everyday life we receive thousands of mails which are not sent to us by our relatives ,friends ,anyone we know . Many of these mails are junk mails(mails which have promotion content in it).and mostly we just check the id of the sender and then ignore if we don’t know the sender or subject is either confusing or directly showing its promotion nature. The big reason why we ignore or delete these mails directly is that some of these mails are dangerous for us as they can steal or personal information which can result in a big financial loss. And its highly difficult to check or guess either its junk mail or spam mail. And its quite obvious why would a spammer will allow receiver to know his intention because he want to steal our important credentials.

All over the world, people through internet are connected and share their opinion. People are interested in official information as well as service and product that are available through online. To analyze different kinds of domain and aspect, online reviews, forums and blogs are used. Rapidly, internet become a dense network through which people not only access information but also interact with each other [1].

Opinions play a crucial role in the decision making process. Analysis in the field of making decisions and setting policies has shown that sentiment analysis and Opinion mining has become increasingly important in the field of Information Retrieval and Web analysis. In the past years, the growth of user generated data in web forums, social networking sites and other social platforms is tremendous, which diverts our study towards mining the opinions on web. In this paper, we have presented a novel methodology to classify the tweets and the complete opinion mining system is explained on the basis of survey and analysis. A flowchart has been proposed in which the overall picture of classification of twitter data has been proposed and accuracy of the evaluation strategies by various supervised learning algorithms has been evaluated. Review data is collected for various product domains from micro blogging sites like twitter, face book.

The overwhelming prevalence of spam comments on the global Internet is one of the most irritating aspects of the life of website/blog owners. The availability of the huge amount of Spam comments on websites causes problems to network infrastructure, wastes employee time (because a lot of time is consumed to read the SPAM comments and then delete them), repel genuine visitors away, and damage the image of the site/blog in the eyes of search engines and people alike.