Abstract: A system may receive a transcript comprising utterances, wherein each utterance in the transcript indicates a timestamp. The system may obtain a machine learning (ML) model trained to define topic model (TM) clusters in the transcript. The ML model may generate at least one block of utterances by shifting a window over the utterances in the transcript. At least one TM cluster may be identified for each shift of the window. The ML model may generate, for each shift of the window, TM cluster scores to assign text labels for each TM cluster. The TM cluster scores may be aggregated to generate utterance level scores. Each utterance level score may be associated with a corresponding timestamp. Topic segments may be generated based on the utterance level scores that exceed a threshold value.

Abstract: Methods and systems provide for providing intelligent topic segmentation within a communication session. In one embodiment, the system connects to a communication session with a number of participants; receives a transcript of a conversation between the participants produced during the communication session, the transcript including timestamps for a number of utterances associated with speaking participants; shifts a window over the utterances to generate blocks of utterances; for each shift of the window over one utterance, identifies topic model (“TM”) clusters (hereinafter “TM clusters”) and generates TM cluster scores to assign text labels for each cluster; aggregates the scores for the TM clusters to generate a number of utterance level scores; converts the utterance level scores into topic segments each including a start time, end time, and associated text label; and transmits, to one or more client devices, a list of the topic segments for the communication session.

Abstract: Methods and systems provide for dynamic prediction of agenda item coverage in a communication session. In one embodiment, the system classifies each agenda item as a long item or a short item; for agenda items classified as long items, extracts one or more topics from the utterances, and uses a topic detection model to predict whether a topic related to each agenda item classified as a long item has been covered; for agenda items classified as short items, applies one or more matching methods to predict whether one or more of the utterances within the sentence threshold cover each agenda item classified as a short item; and transmits, to one or more client devices, a status of the agenda items for the communication session.

Abstract: Methods and systems provide for video-based and transcript-based segmentation of communication session content. The method may include obtaining a transcript associated with video content of a communication session and performing video-based segmentation on the video content to determine a category label from a list of category labels for each video frame of the video content. The video content may include topic segments of consecutive frames associated with a same category label. The method may further include performing transcript-based segmentation to divide one of the topic segments into a first topic segment associated with a first title and a second topic segment associated with a second title.

Abstract: Methods and systems provide for search results within segmented communication session content. In one embodiment, the system receives a transcript and video content of a communication session between participants, the transcript including timestamps for a number of utterances associated with speaking participants; processes the video content to extract textual content visible within the frames of the video content; segments frames of the video content into a number of contiguous topic segments; determines a title for each topic segment; assigns a category label for each topic segment; receives a request from a user to search for specified text within the video content; determines one or more titles or category labels for which a prediction of relatedness with the specified text is present; and presents content from at least one topic segment associated with the one or more titles or category labels for which a prediction of relatedness is present.

Abstract: Methods and systems provide for dynamic prediction of agenda item coverage in a communication session. In one embodiment, the system connects to a communication session with a plurality of participants; receives one or more agenda items and a number of utterances; classifies each agenda item as a long item or a short item; for agenda items classified as long items, extracts one or more topics from the utterances, and uses a topic detection model to predict whether a topic related to each agenda item classified as a long item has been covered; for agenda items classified as short items, applies one or more matching methods to predict whether one or more of the utterances within the sentence threshold cover each agenda item classified as a short item; and transmits, to one or more client devices, a status of the agenda items for the communication session.

Abstract: Methods and systems provide for dynamic prediction of agenda item coverage in a communication session. In one embodiment, the system connects to a communication session with a plurality of participants; receives one or more agenda items and a number of utterances; classifies each agenda item as a long item or a short item; for agenda items classified as long items, extracts one or more topics from the utterances, and uses a topic detection model to predict whether a topic related to each agenda item classified as a long item has been covered; for agenda items classified as short items, applies one or more matching methods to predict whether one or more of the utterances within the sentence threshold cover each agenda item classified as a short item; and transmits, to one or more client devices, a status of the agenda items for the communication session.

Abstract: Methods and systems provide for providing intelligent topic segmentation within a communication session. In one embodiment, the system connects to a communication session with a number of participants; receives a transcript of a conversation between the participants produced during the communication session, the transcript including timestamps for a number of utterances associated with speaking participants; shifts a window over the utterances to generate blocks of utterances; for each shift of the window over one utterance, identifies topic model (“TM”) clusters (hereinafter “TM clusters”) and generates TM cluster scores to assign text labels for each cluster; aggregates the scores for the TM clusters to generate a number of utterance level scores; converts the utterance level scores into topic segments each including a start time, end time, and associated text label; and transmits, to one or more client devices, a list of the topic segments for the communication session.

Abstract: Methods and systems provide for search results within segmented communication session content. In one embodiment, the system receives a transcript and video content of a communication session between participants, the transcript including timestamps for a number of utterances associated with speaking participants; processes the video content to extract textual content visible within the frames of the video content; segments frames of the video content into a number of contiguous topic segments; determines a title for each topic segment; assigns a category label for each topic segment; receives a request from a user to search for specified text within the video content; determines one or more titles or category labels for which a prediction of relatedness with the specified text is present; and presents content from at least one topic segment associated with the one or more titles or category labels for which a prediction of relatedness is present.

Abstract: Methods and systems provide for video-based search results within a communication session. In one embodiment, the system receives video content of a communication session with a number of participants; extracts, via optical character recognition (“OCR”), textual content from the frames of the video content, each piece of textual content including a timestamp representing a temporal location of the frame within the video content; receives, from a client device associated with a user, a request to search for specified text within the video content; in response to receiving the request, determines one or more matching pieces of textual content which match to the specified text; and presents, to the client device, the matching pieces of textual content.

Abstract: Methods and systems provide title detection for presented slides. In one embodiment, the system receives video content of a communication session with a number of participants; extracts frames from the video content; classifies the frames of the video content; identifies one or more distinguishing frames containing a presentation slide; for each distinguishing frame containing a presentation slide, detects a title within the frame; and transmits, to one or more client devices, the titles for each of the distinguishing frames comprising a presentation slide.

Abstract: Methods and systems provide for providing video-based chapter generation for a communication session. In one embodiment, the system receives a transcript and video content of a communication session between participants, the transcript including timestamps for a number of utterances associated with speaking participants; processes the video content to extract one or more pieces of textual content visible within the frames of the video content; segments frames of the video content into a number of contiguous topic segments; determines a title for each topic segment from one or more of: the transcript, and the extracted textual content; assigns a category label for each topic segment from a prespecified list of category labels; and transmits, to one or more client devices, the list of topic segments with determined title and assigned category label for each of the merged topic segments.

Abstract: Methods and systems provide for providing video frame type classification in a communication session. In one embodiment, the system receives video content of a communication session with a number of participants; extracts frames from the video content; classifies the frames of the video content based on image analysis; and transmits, to one or more client devices, the classification of the frames of the video content.

Abstract: Methods and systems provide for providing extraction of textual content from video of a communication session. In one embodiment, the system receives video content of a communication session which includes a number of participants. The system then extracts frames from the video content, and classifies the frames of the video content. The system identifies one or more distinguishing frames containing text. For each distinguishing frame containing text, the system detects a title within the frame, crops a title area with the title within the frame, and extracts, via optical character recognition (“OCR”), the title from the cropped title area of the frame. The system extracts, via OCR, textual content from the distinguishing frames containing text, and then transmits the extracted textual content and extracted titles to one or more client devices.

Abstract: Methods and systems provide for providing dynamic chapter generation for a communication session. In one embodiment, the system connects to a communication session with a number of participants; receives a transcript of a conversation between the participants produced during the communication session, the transcript including timestamps for a number of utterances associated with speaking participants; segments the utterances into a plurality of contiguous topic segments; generates a title for each topic segment, the generating comprising: labeling one or more of the topic segments based on one or more labeling rules, extracting one or more top phrases from each topic segment, determining a ranking of the top phrases for each topic segment, and generating the title for each topic segment based on the top ranked phrase for the topic segment; and transmits, to one or more client devices, a list of the topic segments with generated titles for the communication session.

Abstract: Methods and systems provide for providing intelligent topic segmentation within a communication session. In one embodiment, the system connects to a communication session with a number of participants; receives a transcript of a conversation between the participants produced during the communication session, the transcript including timestamps for a number of utterances associated with speaking participants; shifts a window over the utterances to generate blocks of utterances; for each shift of the window over one utterance, identifies topic model (“TM”) clusters (hereinafter “TM clusters”) and generates TM cluster scores to assign text labels for each cluster; aggregates the scores for the TM clusters to generate a number of utterance level scores; converts the utterance level scores into topic segments each including a start time, end time, and associated text label; and transmits, to one or more client devices, a list of the topic segments for the communication session.

Abstract: Methods and systems provide for search results within segmented communication session content. In one embodiment, the system receives a transcript and video content of a communication session between participants, the transcript including timestamps for a number of utterances associated with speaking participants; processes the video content to extract textual content visible within the frames of the video content; segments frames of the video content into a number of contiguous topic segments; determines a title for each topic segment; assigns a category label for each topic segment; receives a request from a user to search for specified text within the video content; determines one or more titles or category labels for which a prediction of relatedness with the specified text is present; and presents content from at least one topic segment associated with the one or more titles or category labels for which a prediction of relatedness is present.

Abstract: The present invention relates a compound for inhibiting the growth of tumor cells. More specifically, the compound of the present invention is 4,7-dimethoxy-5-methy-1,3-benzodioxole. 4,7-dimethoxy-5-methy-1,3-benzodioxole of the present invention is used for inhibiting the growth of tumor cells of breast cancer, liver cancer, and prostate cancer, and the pharmaceutical composition comprises an effective dose of 4,7-dimethoxy-5-methy-1,3-benzodioxole.

Abstract: The present invention relates to a novel compound and its uses, which is an extract isolated and purified from Antrodia camphorate, in particular to 4-hydroxy-2,3 -dimethoxy-6-methyl-5(3,7,11-trimethyl-dodeca-2,6,10-trienyl)-cyclohex-2-enone, and its use in tumor growth inhibition. The compound of the invention, which has never been discovered in Antrodia camphorate, can be applied in inhibiting the growth of cancer cells, such as breast cancer, hepatic cancer and prostate cancer; and be used as a pharmaceutical composition to inhibit the tumor growth; or further be applied in prevention of heart and blood vessel disease or dietary supplements for health needs through its antioxidant activity.