In this research it is elaborated on why most groups are heterogeneous. The accompanying suggestion is that sub groups need to be created before starting the AHP analysis in order to fulfil the assumption that participating groups are homogeneous. When insight regarding better use of AHP in complex multi actor systems can be obtained, every conclusion will contribute to the scientific knowledge within the AHP field. When added value can be proven in this research it can become a future standard for AHP application in complex multi-actor situations. If relevant conclusions can be drawn this will save future researchers a lot of time looking for
AN EFFICIENT SENTIMENT ANALYSIS APPROACH FOR PRODUCT REVIEW USING TURNEY ALGORITHM ABSTRACT: Sentiment analysis can be done by Classification.It is one of the most important tasks for different application such as text categorization, tone recognition, image classification. Mostly existing supervised classification methods are based on traditional statistics, which can provide ideal results. The aim of the project is to increase the accuracy and to report the manufacturer about the negatives of the product. The major problem is polarity categorization.There are two levels of categorization and they are Sentence-level Categorization and Review-level Categorization. Review-level categorization
All of these problems come from using social media and it is gradually changing people’s behavior. They go to You Tube or Facebook and see how other people dress, eat, talk and behave in different way from their own culture. The more frequently they visit websites or social media the longer the visual, sound and action stay with them. They interact with people in real life as they have seen in the media. Eventually, the culture of Laos is dominated by other cultures.
Around the clock, people are experiencing hundreds of voices and pictures in radio, television, magazines, newspapers, billboards, social media, and other media. Each brand makes effort to fascinate the masses with different engineered effective communication. Inspite of all these, it is always a big challenge for producers not only to get the attention of viewers but also to urge them to purchase the specific product. In this connection market is grabbed through different tactics and specialized communication by the producer. Marketers have conquered every feature of life in daily relations, conversations, approaches and to a convinced degree of regulate our activities as consumers of tangible and non tangible products.
Social media can lead us to many problems. Social media become an important to every student. Their life now is depends on social media networking sites like Facebook, Twitter and many more to communicate with each other. That is why, it becomes a basic need to them. As a result, some people argue because of Insecurity, Cyberbullying, Distraction, Stress, Emotional and Peer pressure.
Idioms can be considered as puzzles because there are no studies that provide a comprehensive analysis of them. Also, it is due to the characteristics that will be described below. They are against the logical structure of the discourse in which “the meanings of the utterances depend on the meanings of their parts and on the syntactic relation among those parts” (Johnson-Laird 1993). This factor gives idioms a heterogeneous character, and describes them as very complex linguistic configurations. Since some expressions have both a literal and an idiomatic meaning, for instance, it's better than a poke in the eye with a burnt stick, and others have only an idiomatic interpretation, such as pull the strings, idioms are transparent to native speakers
Because one wants to achieve “deeper processing” (Gilhooly et al, 2014) or semantic encoding while studying, a more interactive method of studying is required. Each study method has certain concepts and methods that should be practiced altogether for ultimate efficiency. Verbal study methods include writing out important information or describing diagrams in one’s own words. Visual study methods include creating one’s own diagrams such as a mind map or possibly using different coloured pens or highlighters to correspond to specific sections – anything visual or imagery based. Auditory study methods could include reading information out loud, recording it and playing it back.
The major advantage of these proposed methods is that they do not have any previous knowledge about the data distribution. However for stream data the performance results for these methods are not very efficient. The earlier work on outlier detection declares online outlier and these are less accurate and may lead to wrong decision. The interesting work on outlier detection in data stream declare a point due to limited memory resources as compared to huge data stream, as an outlier which can often lead to inaccurate decisions, because of dynamic nature of the incoming data . Outlier detection over streaming data aim to identify objects which have dissimilar behavior, and they are exceptional in comparison to normal objects .
Translational Equivalence When we attempt to analyze the various dimensions of translational studies, we would surely find out that translational equivalence or equivalence in translation is one of the most researched and discussed topics. Translational equivalence is the style of translation where the sense or situation of the original term is replicated through the use of different wording (Vinay and Darbelnet, 1995). This sense of the original and its translated word are equivalent and similar. Precisely, equivalence in translation is represented by the corresponding expression of a word in another language. Theorists, linguists, and experts have tried to categorize the translational equivalence into different parts.
1 Introduction Sentiment analysis also known as opinion mining is the process of determining the emotional tones behind a series of words, in recent years it has been receiving a lot of attention from researchers. This field has many interrelated sub problems rather than a single problem to solve, which makes this field more challenging. Sentiment classification task is performed for several reasons like to indicate the ups and downs of overall attitude of a brand or product, to pull out customer feedback on some topic or brand, to compare the attitude of one product with another. Sentiment analysis performed