Learning Domain-Specific Polarity Lexicons

Abstract

Abstract-Sentiment analysis aims to automatically estimate the sentiment in a given text as positive or negative. Polarity lexicons, often used in sentiment analysis, indicate how positive or negative each term in the lexicon is. However, since creating domain-specific polarity lexicons is expensive and timeconsuming, researchers often use a general purpose or domainindependent lexicon. In this work, we address the problem of adapting a general purpose polarity lexicon to a specific domain and propose a simple yet effective adaptation algorithm. We experimented with two sets of reviews from the hotel and movie domains and observed that while our adaptation techniques changed the polarity values for only a small set of words, the overall test accuracy increased significantly: 77% to 83% in the hotel dataset and 61% to 66% in the movie dataset.

Sentiment Analysis in Turkish

“…For simplicity, we do not take into account of the neutral/objective polarity value of the word in this work.For example, the polarity triplet of the word "kabus" (nightmare) is <0.535,0.408,0.057> and pol − = 0.535, pol + = 0.0570; hence pol("kabus") is calculated to be −0.239 since "kabus" has only one synset in SentiTurkNet. An alternative to using the average polarity is to use the dominant polarity of a word (Demiröz et al, 2012); however we preferred the average as it takes into consideration both polarity values.…”

Sentiment Analysis Using Domain-Adaptation and Sentence-Based Analysis

“…Another recent work expands a given dictionary of words with known polarities by first producing a new set of synonyms with polarities and using these to further deduce the polarities of other words [28]. Finally, a simple corpus-based domain adaptation technique proposed by Demiroz et al is used in our system [1]. In this work, authors consider the tf-idf [29] scores of each word in positive and negative review sets, and adapt word polarities according to this difference.…”

“…For domain-adaptation of a general purpose lexicon, we propose several variations of a simple method which is based on the delta tf-idf concept [35]. We have previously shown the benefits of using the adaptation technique independently [1], by using a simple sentiment analysis algorithm with and without domain adaptation of the used lexicon. We use the adapted polarity lexicon for feature extraction.…”

“…First, we apply a simple domain-adaptation method proposed in [1] to adapt a domain-independent polarity lexicon to a specific domain. We show that even changes in the polarity of a small number of words affect the overall accuracy by a few percent.…”

“…In this work, we address two sub-tasks in sentiment analysis. We apply a simple method to adapt a general purpose polarity lexicon to a specific domain [1]. Subsequently, we propose and evaluate new features to be used in a word polarity based approach to sentiment classification.…”