Abstract: A computer-implemented method, system and computer program product for improving the quality of subsequent searches. A request is received from a user to perform a search using the term(s) provided by the user. A search is then performed using the provided term(s). A representation of the search result is depicted as an area (e.g., bubble) with terms of interest displayed outside the area. The area represents a set of documents that were found in the performed search and the terms of interest represent terms that may be of interest to the user based on this set of documents. These terms of interest may be selected by the user to adjust the search result. In this manner, the user is presented with an intuitive view as to how different terms or different searches will have an impact on the search results thereby improving the quality of subsequent searches.

Abstract: In an approach to AI explaining for natural language processing, responsive to receiving an input text for a machine learning model, an output is generated from the machine learning model. A plurality of alteration techniques are applied to the input text to generate one or more alternate outputs, where each alternate output corresponds to an alteration technique. A variation rate of the alternate output is calculated for each alteration technique. A preferred technique of generating neighboring data of the input text is generated based on a comparison of the variation rate of the alternate output for each alteration technique.

Abstract: A computer-implemented method, system and computer program product for improving the quality of subsequent searches. A request is received from a user to perform a search using the term(s) provided by the user. A search is then performed using the provided term(s). A representation of the search result is depicted as an area (e.g., bubble) with terms of interest displayed outside the area. The area represents a set of documents that were found in the performed search and the terms of interest represent terms that may be of interest to the user based on this set of documents. These terms of interest may be selected by the user to adjust the search result. In this manner, the user is presented with an intuitive view as to how different terms or different searches will have an impact on the search results thereby improving the quality of subsequent searches.

Abstract: A computer-implemented method, system and computer program product for improving the quality of subsequent searches. A request is received from a user to perform a search using the term(s) provided by the user. A search is then performed using the provided term(s). A representation of the search result is depicted as an area (e.g., bubble) with terms of interest displayed outside the area. The area represents a set of documents that were found in the performed search and the terms of interest represent terms that may be of interest to the user based on this set of documents. These terms of interest may be selected by the user to adjust the search result. In this manner, the user is presented with an intuitive view as to how different terms or different searches will have an impact on the search results thereby improving the quality of subsequent searches.

Abstract: A computer-implemented method, system and computer program product for improving the quality of subsequent searches. A request is received from a user to perform a search using the term(s) provided by the user. A search is then performed using the provided term(s). A representation of the search result is depicted as an area (e.g., bubble) with terms of interest displayed outside the area. The area represents a set of documents that were found in the performed search and the terms of interest represent terms that may be of interest to the user based on this set of documents. These terms of interest may be selected by the user to adjust the search result. In this manner, the user is presented with an intuitive view as to how different terms or different searches will have an impact on the search results thereby improving the quality of subsequent searches.

Abstract: A computer-implemented method, system and computer program product for improving the quality of subsequent searches. A request is received from a user to perform a search using the term(s) provided by the user. A search is then performed using the provided term(s). A representation of the search result is depicted as an area (e.g., bubble) with terms of interest displayed outside the area. The area represents a set of documents that were found in the performed search and the terms of interest represent terms that may be of interest to the user based on this set of documents. These terms of interest may be selected by the user to adjust the search result. In this manner, the user is presented with an intuitive view as to how different terms or different searches will have an impact on the search results thereby improving the quality of subsequent searches.

Abstract: A method, system and computer program product for visualizing analysis results of contents. Contents collected from various kinds of communication tools are read into memory. The contents are analyzed to obtain analysis results, where the analysis results include information on user groups, information on topics and degrees of involvement of users with the topic. Furthermore, user objects assigned according to the degree of involvement are dynamically displayed for a designated period of time and for each topic using the analysis results, where the displaying of each of the user objects is modified according to the degree of involvement and the information on a user group. A communication volume object which represents a communication volume between users may be further displayed between the user objects associated with these users and displayed so as to be different depending on the communication volume.

Abstract: In an approach to AI explaining for natural language processing, responsive to receiving an input text for a machine learning model, an output is generated from the machine learning model. A plurality of alteration techniques are applied to the input text to generate one or more alternate outputs, where each alternate output corresponds to an alteration technique. A variation rate of the alternate output is calculated for each alteration technique. A preferred technique of generating neighboring data of the input text is generated based on a comparison of the variation rate of the alternate output for each alteration technique.

Abstract: A method, system and computer program product for visualizing analysis results of contents. Contents collected from various kinds of communication tools are read into memory. The contents are analyzed to obtain analysis results, where the analysis results include information on user groups, information on topics and degrees of involvement of users with the topic. Furthermore, user objects assigned according to the degree of involvement are dynamically displayed for a designated period of time and for each topic using the analysis results, where the displaying of each of the user objects is modified according to the degree of involvement and the information on a user group. A communication volume object which represents a communication volume between users may be further displayed between the user objects associated with these users and displayed so as to be different depending on the communication volume.

Abstract: A method, system and computer program product for visualizing analysis results of contents. Contents collected from various kinds of communication tools are read into memory. The contents are analyzed to obtain analysis results, where the analysis results include information on user groups, information on topics and degrees of involvement of users with the topic. Furthermore, user objects assigned according to the degree of involvement are dynamically displayed for a designated period of time and for each topic using the analysis results, where the displaying of each of the user objects is modified according to the degree of involvement and the information on a user group. A communication volume object which represents a communication volume between users may be further displayed between the user objects associated with these users and displayed so as to be different depending on the communication volume.

Abstract: Mechanisms are provided to automatically identify source code relevant to a task among a set of disparate source code. The mechanisms search a plurality of working sets based on a given keyword associated with the task in order to identify a subset of working sets from a working set store that comprises the given keyword. The mechanisms identify source code files associated with the identified working sets. The mechanisms determine a score that depends on the occurrences of matched working sets for the given keyword within each identified source code file. For each directory or repository, the mechanisms determine an aggregated score for all the source code files comprised therein. The mechanisms present a listing of all identified source code files by directory and repository, where the listing illustrates a relevancy of repositories, directories, and source code files that comprise the given keyword associated with the task.

Abstract: A method, system and computer program product for visualizing analysis results of contents. Contents collected from various kinds of communication tools are read into memory. The contents are analyzed to obtain analysis results, where the analysis results include information on user groups, information on topics and degrees of involvement of users with the topic. Furthermore, user objects assigned according to the degree of involvement are dynamically displayed for a designated period of time and for each topic using the analysis results, where the displaying of each of the user objects is modified according to the degree of involvement and the information on a user group. A communication volume object which represents a communication volume between users may be further displayed between the user objects associated with these users and displayed so as to be different depending on the communication volume.

Abstract: Embodiments are directed to a computer implemented method of improving queries. The method includes performing a query on a document set, wherein documents that satisfy the query comprise a first subset of the document set and documents that do not satisfy the query comprise a complement subset. Thereafter, calculating a correlation for all terms in the complement subset, with respect to the complement subset. Thereafter determining a set of top correlated terms. A set of bottom correlated terms is determined. The set of top correlated terms and bottom correlated terms are presented to generate an improved query.

Abstract: Mechanisms are provided to automatically identify source code relevant to a task among a set of disparate source code. The mechanisms search a plurality of working sets based on a given keyword associated with the task in order to identify a subset of working sets from a working set store that comprises the given keyword. The mechanisms identify source code files associated with the identified working sets. The mechanisms determine a score that depends on the occurrences of matched working sets for the given keyword within each identified source code file. For each directory or repository, the mechanisms determine an aggregated score for all the source code files comprised therein. The mechanisms present a listing of all identified source code files by directory and repository, where the listing illustrates a relevancy of repositories, directories, and source code files that comprise the given keyword associated with the task.

Abstract: Embodiments are directed to a computer implemented method of improving queries. The method includes performing a query on a document set, wherein documents that satisfy the query comprise a first subset of the document set and documents that do not satisfy the query comprise a complement subset. Thereafter, calculating a correlation for all terms in the complement subset, with respect to the complement subset. Thereafter determining a set of top correlated terms. A set of bottom correlated terms is determined. The set of top correlated terms and bottom correlated terms are presented to generate an improved query.

Abstract: A computer-implemented method, system and computer program product for improving the quality of subsequent searches. A request is received from a user to perform a search using the term(s) provided by the user. A search is then performed using the provided term(s). A representation of the search result is depicted as an area (e.g., bubble) with terms of interest displayed outside the area. The area represents a set of documents that were found in the performed search and the terms of interest represent terms that may be of interest to the user based on this set of documents. These terms of interest may be selected by the user to adjust the search result. In this manner, the user is presented with an intuitive view as to how different terms or different searches will have an impact on the search results thereby improving the quality of subsequent searches.

Abstract: A computer-implemented method, system and computer program product for improving the quality of subsequent searches. A request is received from a user to perform a search using the term(s) provided by the user. A search is then performed using the provided term(s). A representation of the search result is depicted as an area (e.g., bubble) with terms of interest displayed outside the area. The area represents a set of documents that were found in the performed search and the terms of interest represent terms that may be of interest to the user based on this set of documents. These terms of interest may be selected by the user to adjust the search result. In this manner, the user is presented with an intuitive view as to how different terms or different searches will have an impact on the search results thereby improving the quality of subsequent searches.

Abstract: A method, system and computer program product for improving the quality of subsequent searches. A request is received from a user to perform a search using the term(s) provided by the user. A search is then performed using the provided term(s). A representation of the search result is depicted as an area (e.g., bubble) with terms of interest displayed outside the area. The area represents a set of documents that were found in the performed search and the terms of interest represent terms that may be of interest to the user based on this set of documents. These terms of interest may be selected by the user to adjust the search result. In this manner, the user is presented with an intuitive view as to how different terms or different searches will have an impact on the search results thereby improving the quality of subsequent searches.

Abstract: A method, system and computer program product for improving the quality of subsequent searches. A request is received from a user to perform a search using the term(s) provided by the user. A search is then performed using the provided term(s). A representation of the search result is depicted as an area (e.g., bubble) with terms of interest displayed outside the area. The area represents a set of documents that were found in the performed search and the terms of interest represent terms that may be of interest to the user based on this set of documents. These terms of interest may be selected by the user to adjust the search result. In this manner, the user is presented with an intuitive view as to how different terms or different searches will have an impact on the search results thereby improving the quality of subsequent searches.

Abstract: A method, system and computer program product for visualizing analysis results of contents. Contents collected from various kinds of communication tools are read into memory. The contents are analyzed to obtain analysis results, where the analysis results include information on user groups, information on topics and degrees of involvement of users with the topic. Furthermore, user objects assigned according to the degree of involvement are dynamically displayed for a designated period of time and for each topic using the analysis results, where the displaying of each of the user objects is modified according to the degree of involvement and the information on a user group. A communication volume object which represents a communication volume between users may be further displayed between the user objects associated with these users and displayed so as to be different depending on the communication volume.