Internet usage has increased social media over the past few years, significantly impacting public opinion on online networks. Nowadays, these websites are considered most appropriate place to express feelings and opinions. The popular site Twitter offers valuable insight into people’s thoughts. Throughout conflict between Russia Ukraine, people from all world have expressed their In this study,...

This paper proposes human-interpretable learning of aspect-based sentiment analysis (ABSA), employing the recently introduced Tsetlin Machines (TMs). We attain interpretability by converting intricate position-dependent textual semantics into binary form, mapping all features bag-of-words (BOWs). The form BOWs are encoded so that information on aspect and context words nearly lossless for class...

Aspect-based sentiment analysis (ABSA) and Targeted ASBA (TABSA) allow finer-grained inferences about to be drawn from the same text, depending on context. For example, a given text can have different targets (e.g., neighborhoods) aspects price or safety), with associated each target-aspect pair. In this paper, we investigate whether adding context self-attention models improves performance (T)...

We present an application of kernel methods for extracting relation between an aspect of an entity and an opinion word from text. Two tree kernels based on the constituent tree and dependency tree were applied for aspect-opinion relation extraction. In addition, we developed a new kernel by combining these two tree kernels. We also proposed a new model for sentiment analysis on aspects. Our mod...

CaesarJ is an aspect-oriented language which unifies aspects, classes and packages in a single powerful construct that helps to solve a set of different problems of both aspect-oriented and component-oriented programming. The paper gradually introduces the concepts of the language and illustrates them by showing how they can be used for noninvasive component refinement and integration, as well ...

Product reviews on the marketplace are interesting to research. Aspect-based sentiment analysis (ABSA) can be used find in-depth information from a review. In one review, there several aspects with polarity of sentiment. Previous research has developed ABSA, but it still limitations in detecting and classification requires labeled data, obtaining data is very difficult. This graph-based semi-su...

Google Play Store is a popular distribution channel with millions of applications. WhatsApp the most downloaded communication application on Store. A few months ago, changed its privacy policy, triggering wave user reviews outrage. Privacy essential in application; users are worried about their data security and privacy. computational system must be required to analyze user’s for authority make...

Making a distributed system adaptable to the dynamic variations in the user requirements is a big challenge in software industries. It is identified that the solution for the adaptability of such dynamic variations can be achieved through reflective middleware. In this paper an efficient solution is proposed by combining aspect oriented approach with reflective middleware. The significant featu...