Abstract: A computer implemented method and system for processing an audio signal. The method includes the steps of extracting prosodic features from the audio signal, aligning the extracted prosodic features with a script derived from or associated with the audio signal, and segmenting the script with the aligned extracted prosodic features into structural blocks of a first type. The method may further include determining a distance measure between a structural block of a first type derived from the script with another structural block of the first type using, for example, the Damerau-Levenshtein distance.

Abstract: A method of analyzing conversational messages may be provided. The method including receiving a query defining a timespan of messages, retrieving at least two conversational messages associated with the defined timespan from a plurality of interleaved messages, de-threading the at least two conversational messages to identify at least one conversational thread, and generating a visualization of conversational threads based on the defined timespan, the at least one conversational thread, the visualization organized into time intervals based on the defined timespan.

Abstract: A method of analyzing conversational messages may be provided. The method may include receiving a query defining a timespan of messages, retrieving at least one conversational message associated with the defined timespan from a plurality of interleaved messages, retrieving at least one message author associated with the defined timespan from a plurality authors associated with the plurality of interleaved messages, and generating a visualization of conversational threads based on the defined timespan, the at least one conversational message and the at least one message author, the visualization organized into time intervals based on the defined timespan.

Abstract: A computer implemented method and system for processing an audio signal. The method includes the steps of extracting prosodic features from the audio signal, aligning the extracted prosodic features with a script derived from or associated with the audio signal, and segmenting the script with the aligned extracted prosodic features into structural blocks of a first type. The method may further include determining a distance measure between a structural block of a first type derived from the script with another structural block of the first type using, for example, the Damerau-Levenshtein distance.

Abstract: The present teaching relates to analyzing user activities related to a video. The video is provided to a plurality of users. The plurality of users is monitored to detect one or more types of user activities performed in time with respect to different portions of the video. One or more visual representations of the monitored one or more types of user activities are generated. The one or more visual representations capture a level of attention paid by the plurality of users to the different portions of the video at any time instance. Interests of at least some of the plurality of users are determined with respect to the different portions of the video based on the one or more visual representations.

Abstract: A method of analyzing conversational messages may be provided. The method may include receiving a query defining a timespan of messages, retrieving at least one conversational message associated with the defined timespan from a plurality of interleaved messages, retrieving at least one message author associated with the defined timespan from a plurality authors associated with the plurality of interleaved messages, and generating a visualization of conversational threads based on the defined timespan, the at least one conversational message and the at least one message author, the visualization organized into time intervals based on the defined timespan.

Abstract: A method of analyzing conversational messages may be provided. The method including receiving a query defining a timespan of messages, retrieving at least two conversational messages associated with the defined timespan from a plurality of interleaved messages, de-threading the at least two conversational messages to identify at least one conversational thread, and generating a visualization of conversational threads based on the defined timespan, the at least one conversational thread, the visualization organized into time intervals based on the defined timespan.

Abstract: The present teaching relates to analyzing user activities related to a video. The video is provided to a plurality of users. The plurality of users is monitored to detect one or more types of user activities performed in time with respect to different portions of the video. One or more visual representations of the monitored one or more types of user activities are generated. The one or more visual representations capture a level of attention paid by the plurality of users to the different portions of the video at any time instance. Interests of at least some of the plurality of users are determined with respect to the different portions of the video based on the one or more visual representations.