Kabushiki Kaisha Toshiba

Toshiba Solutions Corporation

Wataru Nakano

Masaru Suzuki

Toshihiko Manabe

Tomoharu Kokubu

Hideki Tsutsui

Masumi Inaba

Masahiro Sekine

Isao Mihara

Kosei Fume

Masayuki Okamoto

Tomohiro Yamasaki

Satoshi Kinoshita

Hideo Umeki

Junya Takakura

Hiromi Wakaki

According to an embodiment, a search device includes a first storage to store therein a keyword group generated by grouping keyword candidates which are to be candidates for a search keyword according to a rule set in advance; a first acquisition unit to acquire a first recommended keyword which is the keyword candidate partially including an input string not yet been entered; a second acquisition unit to acquire a second recommended keyword which is included in the keyword group to which the first recommended keyword belongs and which is the keyword candidate other than the first recommended keyword; an output unit to output a search screen for displaying the first recommended keyword and the second recommended keyword in a selectable way; and a search unit to perform a search with the first recommended keyword or the second recommended keyword selected on the search screen as the search keyword.

Search device, search method, and computer program product

According to an embodiment, a document classification apparatus includes an extraction unit, a clustering unit, a classification unit, and a label assignment unit. The extraction unit is configured to extract feature words from documents. The clustering unit is configured to cluster the feature words into clusters so that a difference between the number of documents each including any one of the feature words belonging to one cluster and the number of documents each including any one of the feature words belonging to another cluster is equal to or less than a predetermined reference value. The classification unit is configured to classify the documents into the clusters so that each document belongs to the cluster to which the feature word included in the each document belongs. The label assignment unit is configured to assign a classification label to each cluster as a word representative of the corresponding feature words.

Apparatus and method for classifying document, and computer program product

A web browsing purpose classification apparatus, including a display unit which displays a webpage and a document retrieval unit which retrieves document data from the displayed webpage. A keyword extraction knowledge unit stores knowledge necessary for keyword extraction. This knowledge is used by a keyword extraction unit to extract keywords from the document data. A webpage format determination knowledge unit stores knowledge necessary for the determination of webpage formats which is used by a webpage format determination unit to determine webpage formats. A web browsing history storage unit stores the keywords and webpage formats as web browsing history. A browsing purpose classification knowledge unit stores knowledge necessary for the classification of browsing purposes which is used by a browsing purpose classification unit to classify browsing purposes.

Apparatus, method and program product for classifying web browsing purposes

According to one embodiment, a phrase similarity is reduced when a common genre characteristic word is included in a program of interest interested by a user and a similar phrase program including the same phrase. A genre similarity is increased when a common genre characteristic word is included in the program of interest and a similar genre program including the same genre as the program of interest. The similar phrase program is presented based on the phrase similarity, and the similar genre program is presented based on the genre similarity.

Apparatus and method for supporting keyword input

According to one embodiment, a keyword presentation apparatus includes an extraction unit, a selection unit and a clustering unit. The extraction unit is configured to extract, as technical terms, morpheme strings, which are not defined in a general concept dictionary, from a document set. The selection unit is configured to evaluate relevancies between each of basic term candidates and the technical terms, and to preferentially select basic term candidates having high relevancies as basic terms. The clustering unit is configured to calculate weighted sums of statistical degrees of correlation between the basic terms based on the document set, to calculate conceptual degrees of correlation between the basic terms based on the general concept dictionary, and to cluster the basic terms based on the weighted sums.

Keyword presentation apparatus and method

A recommended information presentation apparatus, including a display unit which displays text data, an extraction unit which extracts keyword candidates from the text data, a storage unit which stores semantic attributes of the keyword candidates, semantic attribute rules which contain scoring criteria for semantic attributes, descriptive phrases describing the keyword candidates and descriptive phrase rules which contain scoring criteria for descriptive phrases. The scores of the keyword candidates are calculated by a selection unit based on the semantic attribute rules and descriptive phrase rules and the highest scoring keyword candidates are selected as keywords. The selected keyword is used to search an information database by a search unit which also receives the search results which are displayed on the display unit by a control unit as recommended information with regards to the text information.

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Kawasaki, Japan

Wataru Nakano