In this paper we1 introduce our novel method for utilizing web mining and semantic categories for determining automatically if a given act is worth praising or not. We report how existing lexicons used in affective analysis and ethical judgement can be combined for generating useful queries for knowledge retrieval from a 5.5 billion word blog corpus. We also present how semantic categorization ...

An increasing number of enterprises are beginning to include ontologies into Text Analytics (TA) applications. This can be challenging for a TA group wishing to avail of such technologies due to the manual effort needed to map language resources within a TA system for a new domain. Ontology lexicalization offers a solution to this problem by seeking to automatically generate lexical resources i...

A lexicon is the heart of any language processing system. Accurate words with grammatical and semantic attributes are essential or highly desirable for any applicationbe it machine translation, information extraction, various forms of tagging or text mining. However, good quality lexicons are difficult to construct requiring enormous amount of time and manpower. In this paper, we present a meth...

Sentiment analysis has become a widely used approach to assess the emotional content of written documents such as customer feedback. In positive psychology research, the typical one-dimensional analysis framework has been extended to include five dimensions. This five-dimensional model, PERMA, enables a fine-grained analysis of written texts. We propose an approach in which this model, statisti...

The main focus of this paper is to investigate methods for opinion extraction at a more detailed level of granularity, retrieving not only the opinionated portion of text, but also the target of that expressed opinion. We describe a novel approach to fine-grained opinion mining that, after an initial lexicon based processing step, treats the problem of finding the opinion expressed towards an e...

Recent considerations in opinion mining, oriented by real applicative tasks, require creating lexical and semantic resources quantitatively and qualitatively rich. In this context, we present a method to automatically enhance a lexicon of subjective terms. The method relies on the indexing of Web documents by a search engine and large number of requests automatically sent. The construction of t...

This paper describes a method of extracting katakana words and phrases, along with their English counterparts from non-aligned monolingual web search engine query logs. The method employs a trainable edit distance function to find pairs that have a high probability of being equivalent. These pairs can then be used to further bootstrap training of the edit distance function, ...

The growth of the Internet has led to massive availability online consumer reviews. So far, papers studying reviews have mainly analysed how non-textual features, such as ratings and volume, influence different types behavior, information adoption decisions or product choices. However, little attention been paid examining textual aspects in order study brand image positioning. text analysis ine...

Abstract Nowadays, it is important for buyers to know other customer opinions make informed decisions on buying a product or service. In addition, companies and organizations can exploit improve their products services. However, the Quintilian bytes of generated every day cannot be manually read summarized. Sentiment analysis opinion mining techniques offer solution automatically classify summa...