Aspect-oriented opinion mining aims to identify product aspects (features of products) about which opinion has been expressed in the text. We present an approach for aspect-oriented opinion mining from user reviews in Croatian. We propose methods for acquiring a domain-specific opinion lexicon, linking opinion clues to product aspects, and predicting polarity and rating of reviews. We show that...

OBJECTIVE The purpose of this article is to describe structured reporting and the development of large databases for use in data mining in breast imaging. CONCLUSION The results of millions of breast imaging examinations are reported with structured tools based on the BI-RADS lexicon. Much of these data are stored in accessible media. Robust computing power creates great opportunity for data ...

In this thesis the author seeks to establish the most appropriate mechanism for conducting sentiment analysis with respect to political debates; firstly so as to predict their outcome and secondly to support a mechanism to provide for the visualisation of such debates in the context of further analysis. To this end two alternative approaches are considered, a classification-based approach and a...

In recent years, error mining approaches were developed to help identify the most likely sources of parsing failures in parsing systems using handcrafted grammars and lexicons. However the techniques they use to enumerate and count n-grams builds on the sequential nature of a text corpus and do not easily extend to structured data. In this paper, we propose an algorithm for mining trees and app...

Opinion mining aims at extracting useful subjective information from reliable amounts of text. Opinion mining holder recognition is a task that has not been considered yet in Arabic Language. This task essentially requires deep understanding of clauses structures. Unfortunately, the lack of a robust, publicly available, Arabic parser further complicates the research. This paper presents a leadi...

This paper describes how a supervised learning method is used for assigning inflectional paradigms to organizational named entities as the main prerequisite for generating a morphological lexicon of these entities. An inflectional paradigm consists of a set of rules for generating all forms of a lexicon entry. A morphological lexicon consists of lexicon entries and their corresponding forms. Th...

Text mining is one of Artificial Intelligent (AI) technologies that uses Natural Language Processing (NLP) for extracting data from structured text. Sentiment analysis (also known as opinion mining) text techniques, which the computational study personals' behaviours and opinions. The importance sentiment increases extensively with enormous growth internet sites such e-commerce, blogs, social m...

The speaker independent speech recognition system built by Cedat 85 for the Italian language is presented in what follows. At the beginning, the system has been tailored and trained to be included in the parliamentary reporting process, one of the major activity of the company; then further development and adaptation activities allow the use of the system in many different fields, both as diffe...