SA-UZH: Verb-based Sentiment Analysis

Abstract

This paper describes the details of our system submitted to the SemEval-2014 shared task about aspect-based sentiment analysis on review texts. We participated in subtask 2 (prediction of the polarity of aspect terms) and 4 (prediction of the polarity of aspect categories). Our approach to determine the sentiment of aspect terms and categories is based on linguistic preprocessing, including a compositional analysis and a verb resource, task-specific feature engineering and supervised machine learning techniques. We used a Logistic Regression classifier to make predictions, which were ranked above-average in the shared task.

Clue Propagation Based on Non-Adjective Opinion Words for Handling Disconnected Propagation in Product Reviews

“…Noun-based opinion identification was first developed by Riloff et al [21], who used bootstrapping algorithms that exploit extraction patterns to learn sets of subjective nouns, while Zhang et al [7] focused on noun and noun phrase identification, which implies opinions by using an opinion lexicon. In addition to noun-based aspect extraction, some studies have developed a verb-based approach to extract aspects [2], [8], [10], [22]. Other studies have also stated that a verb can implicitly represent opinions [8], [23]- [25].…”

“…In addition to noun-based aspect extraction, some studies have developed a verb-based approach to extract aspects [2], [8], [10], [22]. Other studies have also stated that a verb can implicitly represent opinions [8], [23]- [25]. However, there are numerous challenges in deriving aspects and their associated opinion words based on nouns and verbs [2], [8], [10], [22].…”

“…Other studies have also stated that a verb can implicitly represent opinions [8], [23]- [25]. However, there are numerous challenges in deriving aspects and their associated opinion words based on nouns and verbs [2], [8], [10], [22].…”

“…Therefore, it is not sufficient to rely solely on nouns and adjectives as potential aspects and opinions. Previous research has shown that opinions are not always expressed in adjectives [8]- [11], and aspects are not always expressed in nouns or noun phrases [2]. Poria et al conducted Implicit Aspect Clues (IACs) that were used to identify aspects indirectly [12].…”

Verb-centered Sentiment Inference with Description Logics

“…Neviarouskaya et al (2009), Reschke and Anand (2011), Maks and Vossen (2012), Hollenstein et al (2014), Deng and Wiebe (2014). More or less common to these approaches is the notion of sentiment inferences triggered by verbs.…”