We present a method for automatically generating focused and accurate topicspecific subjectivity lexicons from a general purpose polarity lexicon that allow users to pin-point subjective on-topic information in a set of relevant documents. We motivate the need for such lexicons in the field of media analysis, describe a bootstrapping method for generating a topic-specific lexicon from a general...

Previous research on basic-level object categories shows there is cross-cultural variation in basic-level concepts, arguing against the idea that the basic level reflects an objective reality. In this paper, I extend the investigation to the domain of events. More specifically, I present a case study of verbs of ingestion in Maniq illustrating a highly specific categorization of ingestion event...

Ray Bradbury’s The Martian Chronicles is a futuristic, science fiction novel that chronicles the colonization of Mars by humans, projecting the United States’ colonial and immigrant past on to a symbolic future. Bradbury’s use of language is mostly picturesque and sensory. The present paper applies a text-oriented analysis of stylistic elements that construct meaning in the text and evoke the n...

Previous work on bilingual lexicon extraction from comparable corpora aimed at finding a good representation for the usage patterns of source and target words and at comparing these patterns efficiently. In this paper, we try to work it out in another way: improving the quality of the comparable corpus from which the bilingual lexicon has to be extracted. To do so, we propose a measure of compa...

An unsupervised sentiment analysis method is presented to classify user comments on laptops into positive ones and negative ones. The method automatically extracts informative features in testing dataset and labels the sentiment polarity of each feature to make a domainspecific lexicon. The classification accuracy of this lexicon will be compared to that with an existing general sentiment lexic...

This paper describes a generic lexicon tool which uses lexical representations and finite state transducers enhanced by arithmetic operations in DATR to generate individual output formats from a general phonological feature based representation. The tool was developed in connection with the lexicon component of a diagnostic evaluation toolkit, BEETLE, for a linguistic word recognition system. T...

Sentiment analysis often relies on a semantic orientation lexicon of positive and negative words. A number of approaches have been proposed for creating such lexicons, but they tend to be computationally expensive, and usually rely on significant manual annotation and large corpora. Most of these methods use WordNet. In contrast, we propose a simple approach to generate a high-coverage semantic...

This paper introduces a new general-purpose sentiment lexicon called the WKWSCI Sentiment Lexicon and compares it with three existing lexicons. The WKWSCI Sentiment Lexicon is based on the 6of12dict lexicon, and currently covers adjectives, adverbs and verbs. The words were manually coded with a value on a 7-point sentiment strength scale. The effectiveness of the four sentiment lexicons for se...