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Sentiment analysis or opinion mining is the field of computational study of people's opinion expressed in written language or text. Sentiment analysis brings together various research areas such as natural language processing, data mining and text mining, and is fast becoming of major importance to organizations as they integrate online commerce into their operations. This paper proposes improved...
Ishikawa Prefecture is located in the Hokuriku region in Japan. One of the problems of the tourism in Ishikawa is to increase the number of tourists from foreign countries. In order to solve this problem, it should be necessary to provide foreign tourists with “language service.” In this study, in order to understand a state of language service to foreign tourists, we investigated what linguistic...
Solar cell, one of green energies, is growing at a fast pace with its clean and renewable characters in recent 20 years. Patent data contains plentiful technological information from which it is worthwhile to extract further knowledge. Thus, a research framework of grounded theory and text mining has been proposed in order to analyze the patent data of thin-film solar cell so as to explore its technology...
Analysis of sentiment expressed in political systems' communication over long periods of time has been difficult. This research illustrates a method based on network analysis, the Sentiment Network Analyzer (SNAZ). It identifies weighted shortest paths between seed words and 3,500 target sentiment words as these occur in semantic networks extracted from open-source documents sliced into time intervals...
Lone wolf terrorists pose a large threat to modern society. The current ability to identify and stop these kind of terrorists before they commit a terror act is limited since they are very hard to detect using traditional methods. However, these individuals often make use of Internet to spread their beliefs and opinions, and to obtain information and knowledge to plan an attack. Therefore, there is...
This paper presents a mining tool that is able to extract graphs from texts, and proposes their use in helping students to write summaries. The text summarization method is based on the use of the graphs as graphic organizers, leading students to further reflect about the main ideas of the text before getting to the actual task of writing. An experiment carried out demonstrated that the tool helped...
The text mining process and its set of techniques have been widely used in order to look for new knowledge in textual documents, which can be recovered by information retrieval systems. There is a variety of methods developed to automatically organize documents based on the knowledge extracted from their content. The management of imprecision and uncertainty is very important to improve these methods...
The combination of social network extraction from texts, network analytics to identify key actors, and then simulation to assess alternative interventions in terms of their impact on the network is a powerful approach for supporting crisis de-escalation activities. In this paper, we describe how researchers used this approach as part of a scenario-driven modeling effort. We demonstrate the strength...
Companies invest a significant amount of time and resources to discover and represent how they work into business processes models. However, traditional process mapping has been done in an ad hoc manner and tends to be resource-intensive and time-consuming due to the informal and ambiguous collection of process information. The Story Mining Method aims to address those problems by the union of free-form...
Fairly rapid environmental changes call for continuous surveillance and on-line decision making. It is becoming an urgent problem for Chinese enterprises how to utilize information technology and build Web information systems based on enterprise information platform in order to serve better the enterprise competitive strategy. This paper firstly provides a new Web information systems model which includes...
Competitive intelligence plays important role in enterprises competitive strategy and decision support. Based on previous questionnaire survey work, the demand analysis of competitive intelligence system of Chinese enterprises is made from the following four aspects: information demand, organization demand, technology demand and harmony demand. Subsequently, we designed the framework model of the...
The goal of this research is to provide an alternative for business processes evaluation and tracking, based on the analysis of non-structured information generated by such processes within the organization areas. In this article we introduce a method to determine the occurrence probability of a business process within the enterprisepsilas text documents. The proposed method introduces the use of...
Science and technology (S&T) information presents a rich resource, vital for managing research and development (R&D) programs. Modern S&T electronic abstract databases such as Science Citation Index and INSPEC provide comprehensive information on research activities in many different domains. These databases mostly include English language publications. However for a country such as Thailand...
E-commerce applications generate and consume a tremendous amount of online information, which is typically available as textual documents. Conceivably, organizations and individuals generally use category sets or hierarchies to organize, archive, and access their documents. Meanwhile, organizations and individuals constantly acquire relevant documents from various Internet sources, each of which may...
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