In this paper, we concentrate on the 3 of the tracks proposed in the NTCIR 8 MOAT, concerning the classification of sentences according to their opinionatedness, relevance and polarity. We propose a method for the detection of opinions, relevance, and polarity classification, based on ISR-WN (a resource for the multidimensional analysis with Relevant Semantic Trees of sentences using different ...

Classification is a kind of basic semantics that people often use to manage versatile contents in daily life. Resource Space Model (RSM) is a semantic model for sharing and managing various resources using normalized classification semantics. Gossip-based peer-to-peer (P2P) techniques are reliable and scalable protocols for information dissemination. Incorporating RSM with gossip-based techniqu...

This paper presents our approach for SemEval 2016 task 4: Sentiment Analysis in Twitter. We participated in Subtask A: Message Polarity Classification. The aim is to classify Twitter messages into positive, neutral, and negative polarity. We used a lexical resource for pre-processing of social media data and train a neural network model for feature representation. Our resource includes dictiona...

Protective mimicry has been studied extensively for over a century. Mimicry in a competitive context, however, has remained largely neglected. It has been overlooked in mimicry classification schemes, and few systems have been rigorously studied. We define ‘‘competitive mimicry’’ as mimicry that enables access to a defended resource or aids in defense of a resource. We explain how competitive m...

In this paper we describe a framework for classifying and annotating Egyptian Arabic Multiword Expressions (EMWE) in a specialized computational lexical resource. The framework intends to encompass comprehensive linguistic information for each MWE including: a. phonological and orthographic information; b. POS tags; c. structural information for the phrase structure of the expression; d. lexico...

In this paper, we describe our system for the topic-based Chinese message polarity classification in SIGHAN 8 Task 2. Our system integrates two SVM classifiers which consist of LinearSVC and LibSVM to train the classification model and predict the results of Chinese message polarity in the restricted resource and the unrestricted resource, respectively. In order to assure our feature engineerin...

Cloud computing is a good platform for research and application of data mining, for the reason that it provides powerful capacities of storage and computing, excellent resource management based on virtualization and resource sharing model, and comprehensive service system. However, investigation on data mining in cloud computing environment is still in its infancy. In this paper, solvent of cla...

We would like to incorporate speaker-dependent consistencies, such as gender, in an otherwise speaker-independent speech recognition system. In this paper we discuss a Gender Dependent Neural Network (GDNN) which can be tuned for each gender, while sharing most of the speaker independent parameters. We use a classification network to help generate gender-dependent phonetic probabilities for a s...

With the advent of consumer generated media (e.g., Amazon reviews, Twitter, etc.), sentiment classification becomes a heated topic. Previous work heavily relies on a large amount of linguistic resources, which are difficult to obtain in resource-scarce languages. To overcome this problem, we investigate the usefulness of label propagation, which is a graph-based semi-supervised learning method....

OBJECTIVE To explore knowledge and use of drug information resources by pharmacists and identify patterns influenced by gender and age-group classification. METHODS A survey questionnaire was mailed nationwide to 1,000 practitioners working in community (n = 500) and hospital (n = 500) settings who answer drug information questions as part of their expected job responsibilities. Responses per...