An Approach to Detect Polarity Variation Rules for Sentiment Analysis
نویسندگان
چکیده
Sentiment Analysis is a discipline that aims at identifying and extract the subjectivity expressed by authors of information sources. Sentiment Analysis can be applied at different level of granularity and each of them still has open issues. In this paper we propose a completely unsupervised approach aimed at inducing a set of words patterns that change the polarity of subjective terms. This is a very important task because, while sentiment lexicons are valid tools that can be used to identify the polarity at word level, working at different level of granularity they are no longer sufficient, because of the various aspects to consider like the context, the use of negations and so on that can change the polarity of subjective terms.
منابع مشابه
Polarity shift detection, elimination and ensemble: A three-stage model for document-level sentiment analysis
The polarity shift problem is amajor factor that affects classification performance ofmachinelearning-based sentiment analysis systems. In this paper, we propose a three-stage cascade model to address the polarity shift problem in the context of document-level sentiment classification. We first split each document into a set of subsentences and build a hybrid model that employs rules and statis...
متن کاملUser sentiment detection: a YouTube use case
In this paper we propose an unsupervised lexicon-based approach to detect the sentiment polarity of user comments in YouTube. Polarity detection in social media content is challenging not only because of the existing limitations in current sentiment dictionaries but also due to the informal linguistic styles used by users. Present dictionaries fail to capture the sentiments of community-created...
متن کاملAKTSKI at SemEval-2016 Task 5: Aspect Based Sentiment Analysis for Consumer Reviews
This paper describes the polarity classification system designed for participation in SemEval2016 Task 5 ABSA. The aim is to determine the sentiment polarity expressed towards certain aspect within a consumer review. Our system is based on supervised learning using Support Vector Machine (SVM). We use standard features for basic classification model. On top this, we include rules to check prece...
متن کاملAn Unsupervised Approach for Feature Based Sentiment Analysis of Product Reviews
Opinion mining or sentiment analysis is the task of mining polarity of opinions which comprises of the area such as natural language processing, data mining. As Eshops grow at rapidly increasing rates, customers on web write product reviews. These product reviews are useful for a customer in his decision making process on whether to purchase the product. Thousands or Hundreds of reviews may app...
متن کاملWho cares about Sarcastic Tweets? Investigating the Impact of Sarcasm on Sentiment Analysis
Sarcasm is a common phenomenon in social media, and is inherently difficult to analyse, not just automatically but often for humans too. It has an important effect on sentiment, but is usually ignored in social media analysis, because it is considered too tricky to handle. While there exist a few systems which can detect sarcasm, almost no work has been carried out on studying the effect that s...
متن کامل