1. Articles in category: Sentiment

    673-696 of 771 « 1 2 ... 26 27 28 29 30 31 32 33 »
    1. Bayer CropScience Extends Commitment to Linguamatics Text Mining Platform for Agrochemical Research

      Linguamatics Ltd, a leader in enterprise text mining for the life science and other markets, today announced that Bayer CropScience has renewed its commitment to use the I2E semantic knowledge-discovery platform to identify trends and activities in the crop protection business. Bayer CropScience has been using I2E since mid-2007, primarily for the analysis of patents and scientific literature. ...
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    2. Sentiment Detection Using Lexically-Based Classifiers

      This paper addresses the problem of supervised sentiment detection using classifiers which are derived from word features. We argue that, while the literature has suggested the use of lexical features is inappropriate for sentiment detection, a careful and thorough evaluation reveals a less clear-cut state of affairs. We present results from five classifiers using word-based features on three tasks, and show that the variation between classifiers can often be as great as has been reported between different feature sets with a fixed classifier. We are thus led to conclude that classifier choice plays at least as important a role as ...
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    3. 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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    4. “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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    5. 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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    6. 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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    673-696 of 771 « 1 2 ... 26 27 28 29 30 31 32 33 »
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