1. Articles in category: Sentiment

    673-696 of 764 « 1 2 ... 26 27 28 29 30 31 32 »
    1. Learning MultiLinguistic Knowledge for Opinion Analysis

      Most existing opinion analysis techniques used word-level sentiment knowledge but lack the learning capacity on the behaviors of context-dependent opinion words. Meanwhile, the use of collocation-level sentiment knowledge is not well studied. This paper presents an opinion analysis system, namely OA, which incorporates the word-level and collocation-level sentiment knowledge. Based on the observation on the NTCIR-6 opinion training corpus, some word-level and collocation-level linguistic clues for opinion analysis are discovered. Learning techniques are developed to learn the features corresponding to these discovered clues. These features are in turn incorporated into a classifier based on support vector machine to identify opinionated ...
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    2. “I Know What You Feel”: Analyzing the Role of Conjunctions in Automatic Sentiment Analysis

      We are interested in finding how people feel about certain topics. This could be considered as a task of classifying the sentiment: sentiment could be positive, negative or neutral. In this paper, we examine the problem of automatic sentiment analysis at sentence level. We observe that sentence structure has a fair contribution towards sentiment determination, and conjunctions play a major role in defining the sentence structure. Our assumption is that in presence of conjunctions, not all phrases have equal contribution towards overall sentiment. We compile a set of conjunction rules to determine relevant phrases for sentiment analysis. Our approach is ...
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    3. Supporting Judgment of Fact Trustworthiness Considering Temporal and Sentimental Aspects

      We have developed a system for helping users to determine the trustworthiness of uncertain facts based on sentiment and temporal viewpoints by aggregating information from the Web. Our goal is not to determine whether uncertain facts are true or false, but to provide users with additional data on which the trustworthiness of the information can be determined. The system shows with what sentiment and in what context facts are mentioned on the Web and displays any temporal change in the fact’s popularity. Furthermore, the system extracts counter facts and analyzes them in the same way. The majority of 1000 ...
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    4. Requirements for tools for ambiguity identification and measurement in natural language requirements specifications

      Abstract  This paper proposes a two-step approach to identifying ambiguities in natural language (NL) requirements specifications (RSs). In the first step, a tool would apply a set of ambiguity measures to a RS in order to identify potentially ambiguous sentences in the RS. In the second step, another tool would show what specifically is potentially ambiguous about each potentially ambiguous sentence. The final decision of ambiguity remains with the human users of the tools. The paper describes several requirements-identification experiments with several small NL RSs using four prototypes of the first tool based on linguistic instruments and resources of different ...
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      Mentions: Canada Italy Trento
    5. Microsoft BioIT Alliance Health Editors/Science Editors/Technology Editors

      (AP:CAMBRIDGE, England--) (BUSINESS WIRE) _ Jun. 12, 2008--Linguamatics Ltd, a leader in enterprise text mining for the life science and other markets, today announced that it has joined the Microsoft BioIT Alliance, an association of life science organizations and informatics companies whose focus is to enhance collaboration and accelerate the pace of drug discovery and development.
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    6. Polarity Classification of Public Health Opinions in Chinese

      Public health events with major consequences are occurring globally. Increasingly people are expressing their views on these events and government agencies’ responses and policies online. Recent years have seen significant interest in investigating methods to recognize favorable and unfavorable sentiments towards specific subjects, including public health opinions, from online natural language text. However, most of these efforts are focused on English. In this paper, we study Chinese opinion mining in the context of public health opinions. We explore two complementary approaches—a Chinese opinionated word-based approach and a machine learning approach. We also conduct related comparative analysis and discuss the ...
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    673-696 of 764 « 1 2 ... 26 27 28 29 30 31 32 »
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