Fine grained opinion mining is an important task in today’s E-business world. Customers and manufacturers wanted to know about products in details. So in this paper we have studied opinion targets and opinion word extraction through dependency parsing and by applying syntactic patterns. Previously developed double propagation approach is useful for extraction task with addition of some syntacti...

The most commonly used methods in text sentiment analysis are rule-based dictionary and machine learning, with the later referring to use of vectors represent followed by learning classify vectors. Both have their limitations, including inflexibility rules, non-prominence words. In this paper, we design a weight distributing method combining two for analysis, which sentence obtained can both hi...

In this paper, we propose a simple yet efective approach to automatically building sentiment lexicons from English sentiment lexicons using publicly available online machine translation services. The method does not rely on any semantic resources or bilingual dictionaries, and can be applied to many languages. We propose to overcome the low coverage problem through putting each English sentimen...

Stance-taking is considered as one of the fundamental properties of human communication (Jaffe, 2009). It is pervasive, intersubjective, and collaborative. While a good deal of research has investigated the expression of stance in English, much less has been done in Chinese. In this study, we draw upon the five-million-word Academia Sinica Balanced Corpus of Modern Chinese to investigate a comp...

The paper presents a semi-automatic approach to creating sentiment dictionaries in many languages. We first produced high-level goldstandard sentiment dictionaries for two languages and then translated them automatically into third languages. Those words that can be found in both target language word lists are likely to be useful because their word senses are likely to be similar to that of the...

In this paper, we describe the development and performance of the supervised system UMCC_DLSI-(SA). This system uses corpora where phrases are annotated as Positive, Negative, Objective, and Neutral, to achieve new sentiment resources involving word dictionaries with their associated polarity. As a result, new sentiment inventories are obtained and applied in conjunction with detected informal ...

Prior text mining studies of corporate reputational sentiment based on newswires, blogs and Twitter feeds have mostly captured reputation from the perspective of two groups of stakeholders – the media and consumers. In this study we examine the sentiment of a potentially overlooked stakeholder group, namely, the firm’s employees. First, we present a novel dataset that uses online employee revie...

Comparison is widely used by consumers during the process of product evaluation in order to emphasize their preference, which can contribute to a proxy for product competitiveness analysis. This paper proposes a novel method for mining comparative sentences based on the achievements of linguistic study. The definition of comparative sentence subcategory is put forward and a mixed rule pool cont...

Many techniques are developed to derive automatically lexical resources for opinion mining. In this paper we present a gold standard for Dutch adjectives developed for the evaluation of these techniques. In the first part of the paper we introduce our annotation guidelines. They are based upon guidelines recently developed for English which annotate subjectivity and polarity at word sense level...