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Ahtract-We propose a novel, convenient fusion of nnturnl-language processing and fuzzy logic techniques for analyzing affect content in free text; our main goals are fast analysis and visualization of affect content for decision-making. The primary linguistic resource for fuzzy semantic typing is the fuzzy affect lcxicon, from which other important resources a r e generated, notably the fuzzy thesaurus and affect category groups. Free text is tagged with Rffect categories from the lexicon, and the affcct categories' centralities and intensities are combined using techniques from fuzzy logic to produce afCect setsfiizzy sets that represent thc affect quality of a document.We show diffcrcnt aspects of affect nnalysis using news stories and movie reviews. Our experiments show a very good carrespondencc of affect scts with human judgments of affect content. We ascribe this to the effective rcprcscntation of ambiguity in our fumy affect lexicon, and the ability of fuzzy logic to deal succcssfulty with thc ambiguity of words in natural language.Planricd extensions of the system include personalized profiles for Wcb-based content dissemination, fuzzy retrieval, clustcring and classification.

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Web searchers reformulate their queries, as they adapt to search engine behavior, learn more about a topic, or simply correct typing errors. Automatic query rewriting can help user web search, by augmenting a user's query, or replacing the query with one likely to retrieve better results. One example of query-rewriting is spell-correction. We may also be interested in changing words to synonyms or other related terms. For Japanese, the opportunities for improving results are greater than for languages with a single character set, since documents may be written in multiple character sets, and a user may express the same meaning using different character sets. We give a description of the characteristics of Japanese search query logs and manual query reformulations carried out by Japanese web searchers. We use characteristics of Japanese query reformulations to extend previous work on automatic query rewriting in English, taking into account the Japanese writing system. We introduce several new features for building models resulting from this difference and discuss their impact on automatic query rewriting. We also examine This work was done while Kevin Bartz and Pero Subasic were employees at

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