Aspect-Oriented Sentiment Analysis: A Topic Modeling-Powered Approach

Formalization of an Aspect-Oriented Modeling Approach

Aspect-oriented programming offers special concepts, such as advices and join points, to implement crosscutting concerns which are activated at various points throughout a program, therefore modifying its base behavior. This article presents a high-level aspect-oriented modeling approach and shows how it can be formalized to allow the verification of aspect composition. Models written in Aspect...

Aspect-Oriented Analysis: a MDA Based Approach

Actually, there are many approaches to deal with crosscutting concerns in early stages in software development. One is MDSOC, which promotes the encapsulation of all relevant kinds of concerns (dimensions) and their integration. MDSOC starts from an initial problem decomposition to design the system. No discussion about how this decomposition should be carried is presented. Based on this defici...

Aspect-oriented Sentiment Analysis on Video Game Reviews in Chinese

Evaluating Topic Modeling as Preprocessing for a Sentiment Analysis Task

Classifying the sentiment of documents is a well-studied problem in Natural Language Processing (NLP). The existence of excellent discriminative classifiers like Maxent has pushed the main body of research in the direction of feature engineering. In this paper, I examine an unusual class of features, the document-topic proportions assigned by the Latent Dirichlet Allocation topic model. In part...

The Graduate School TOPIC ORIENTED EVOLUTION AND SENTIMENT ANALYSIS

Topic modeling techniques help people to understand what is talking about in a corpus, and dramatically improve humans work on academic or business productivity. Although these topic modeling techniques can usually handle topic information represented by word frequencies well, they cannot deal with other unstructured text information such as timestamps, sentiments, or opinions. However, real ap...