Abstract Rhetorical structure is helpful in improving how the writers maintain cohesion in their writings. This study examines how the Iraqi writers maintain cohesion in the text by analyzing the various rhetorical moves in Azzaman, an online Iraqi newspaper. To this purpose, twelve opinion articles from Azzaman Iraqi newspaper, published from January 2013 to June 2013 were analyzed. The findin...

Previous work on opinion mining and sentiment analysis mainly concerns product, movie, or literature reviews; few applied this technique to analyze the publicity of person. We present a novel document modeling method that utilizes embeddings of emotion keywords to perform reader’s emotion classification, and calculates a publicity score that serves as a quantifiable measure for the publicity of...

The open source software is widely spread, yet still unpopular in the personal computer market. The reason for that could be the common opinion that the open source systems are created for advanced users, and that ordinary users do not have the time to learn how to use different user interfaces. Based on our selection and analysis of scientific articles we tried to find the answers to the follo...

The challenge of an automatic opinion analysis has been the focus of attention in recent years in many domains such as online product review. Especially, in online news articles opinion analysis has good prospects, since newspaper is the most powerful media to disseminate people’s opinions. We introduce a lexical information based approach to this task by exploiting lexical information, based o...

The text documents contain opinions or sentiments on some objects, such as movie reviews, book reviews, product reviews etc. Sentiment analysis is mining the sentiment or opinion words and identification or analysis of the opinion and arguments in text. Here this paper proposed an ontology based combination approach to improve the exits approaches of sentiment classifications and to use supervi...

We describe an opinion analysis system developed for Multilingual Opinion Analysis Task at NTCIR7. Given a topic and relevant newspaper articles, our system determines whether a sentence in the articles carries an opinion, if so, then extract the polarity and holder of the opinion. Our system uses subjectivity lexicons to score the sentiment weight of a word, in addition with a weight that refl...

Automatic detection of linguistic negation in free text is a demanding need for many text processing applications including Sentiment Analysis. Our system uses online news archives from two different resources namely NDTV and The Hindu. While dealing with news articles, we performed three subtasks namely identifying the target; separation of good and bad news content from the good and bad senti...