A Novel Visualization Method for Distinction of Web News Sentiment

Zhang, Jianwei; Kawai, Yukiko; Kumamoto, Tadahiko; Tanaka, Katsumi

doi:10.1007/978-3-642-04409-0_22

Cited by 16 publications

(13 citation statements)

References 5 publications

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“…In [10] the authors focus on eight dimensions of sentiment: Joy, Sadness, Trust, Disgust, Fear, Anger, Surprise and Anticipation, and are able to provide visualizations of how these eight sentiments evolve over time on some concept, e.g., Iraq, based on news messages. The results are validated against ratings of human reviewers of the news messages, and the method performs satisfactorily in visualizing the evolution of these sentiments over time regarding the studied concepts.…”

Section: Content and Sentiment Analysismentioning

confidence: 99%

A fuzzy model of the MSCI EURO index based on content analysis of European Central Bank statements

Milea

Almeida

Kaymak

et al. 2010

International Conference on Fuzzy Systems

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Abstract-In this paper we investigate whether the MSCI EURO index can be predicted based on the content of European Central Bank (ECB) statements. We propose a new model to retrieve information from free text and transform it into a quantitative output. For this purpose, we first identify all adjectives in an ECB statement by using the Stanford Partof-Speech Tagger and feed these to the General Inquirer (GI) content analysis tool. From GI we obtain a matrix that provides for each document and for each content category the percentage of words in the document that fall under each category. After normalizing the data, we develop a Takagi-Sugeno (TS) fuzzy model using fuzzy c-means clustering. The TS fuzzy system is used to model the levels of the MSCI EURO index. To determine the performance of the model, we focus on the accuracy of predicting upward or downward movement in the index, and obtain, on average, an accuracy of 66%, that corresponds to an improvement of 16% over a random classifier.

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Section: Content and Sentiment Analysismentioning

confidence: 99%

A fuzzy model of the MSCI EURO index based on content analysis of European Central Bank statements

Milea

Almeida

Kaymak

et al. 2010

International Conference on Fuzzy Systems

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“…Miao et al (2009) used a time-decaying aggregation, retrieving only the most recent reviews that were marked by users as helpful. Zhang et al (2009) introduced a novel approach, which interactively aggregates and displays sentiments based on different granularities of time and space (geographical location). Besides, the fuzzy linguistic approach has been used for solving this problem (Lazzari et al 2009).…”

Section: Related Work On Opinion Aggregationmentioning

confidence: 99%

“…There is a method for aggregating these textual opinions called Opinion Aggregation (Hu and Liu 2004;Morinaga et al 2002;Carenini et al 2005;Ku et al 2006;Miao et al 2009;Zhang et al 2009;Lazzari et al 2009;Tang et al 2009;Tsytsarau and Palpanas 2010;Ribeiro et al 2002). The difference among opinion aggregation and other summarization tasks is the necessity to provide summaries along several features, aggregated over one or more dimensions.…”

Section: Introductionmentioning

confidence: 97%

A new model for linguistic summarization of heterogeneous data: an application to tourism web data sources

Carrasco¹,

Villar²

2011

Soft Comput

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In this paper we present the problem of aggregating heterogeneous data from various websites with opinions about high end hotels into a database. We present the fuzzy model based on the semantic translation as a tool to obtain a linguistic summarization. The characteristics of this model (necessary to solve the problem) are not together on any of the existing linguistic models: the management of the input heterogeneous data (natural language included); the procurement of linguistic results with high precision and good interpretability; and the use of unbalanced linguistic term sets described by trapezoidal membership functions for defining the initial linguistic terms. We applied it to aggregate data from certain high end hotels websites and we show a case study using the high end hotels located in Granada (Spain) from such websites during a year. With this aggregated information, a data analyst can make several analyses with the benefit of easy linguistic interpretability and a high precision. The solution proposed here can be used to similar aggregation problems.

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“…Important here is the determination of the expressed emotion. In [4] and [5] this was done for web news. The work in the area of topic detection is tremendous and the focus lies on methods to detect and track events automatically.…”

Section: A Related Work For Features Approximating Age Suitabilitymentioning

confidence: 99%

Are my Children Old Enough to Read these Books? Age Suitability Analysis

et al. 2011

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Abstract-In general, books are not appropriate for all ages, so the aim of this work was to find an effective method of representing the age suitability of textual documents, making use of automatic analysis and visualization. Interviews with experts identified possible aspects of a text (such as 'is it hard to read?') and a set of features were devised (such as linguistic complexity, story complexity, genre) which combine to characterize these age related aspects. In order to measure these properties, we map a set of text features onto each one. An evaluation of the measures, using Amazon Mechanical Turk, showed promising results. Finally, the set features are visualized in our age-suitability tool, which gives the user the possibility to explore the results, supporting transparency and traceability as well as the opportunity to deal with the limitations of automatic methods and computability issues.Index Terms-Information interfaces and presentation, information search and retrieval.

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A Novel Visualization Method for Distinction of Web News Sentiment

Cited by 16 publications

References 5 publications

A fuzzy model of the MSCI EURO index based on content analysis of European Central Bank statements

A fuzzy model of the MSCI EURO index based on content analysis of European Central Bank statements

A new model for linguistic summarization of heterogeneous data: an application to tourism web data sources

Are my Children Old Enough to Read these Books? Age Suitability Analysis

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