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公开(公告)号：US11025775B2
公开(公告)日：2021-06-01
申请号：US16567513
申请日：2019-09-11
Inventor： Tamir Tapuhi , Yochai Konig , Amir Lev-Tov , Avraham Faizakof , Yoni Lev
Abstract: A method for generating a dialogue tree for an automated self-help system of a contact center from a plurality of recorded interactions between customers and agents of the contact center includes: computing, by a processor, a plurality of feature vectors, each feature vector corresponding to one of the recorded interactions; computing, by the processor, similarities between pairs of the feature vectors; grouping, by the processor, similar feature vectors based on the computed similarities into groups of interactions; rating, by the processor, feature vectors within each group of interactions based on one or more criteria, wherein the criteria include at least one of interaction time, success rate, and customer satisfaction; and outputting, by the processor, a dialogue tree in accordance with the rated feature vectors for configuring the automated self-help system.
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公开(公告)号：US20200327191A1
公开(公告)日：2020-10-15
申请号：US16381452
申请日：2019-04-11
Inventor： Amir Lev-Tov , Avraham Faizakof , Arnon Mazza , Yochai Konig
Abstract: A method, system, and computer program product for unsupervised automated generation of lexicons in a specified target domain, comprising tokens having domain-specific sentiment orientation, by selecting a seed set of tokens from a source lexicon; generating a candidate set of tokens from a text corpus in the target domain based on a similarity parameter with the seed set; calculating a sentiment score for each of the tokens in the candidate set; and automatically updating the source lexicon based on the candidate list.
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公开(公告)号：US20200159826A1
公开(公告)日：2020-05-21
申请号：US16194758
申请日：2018-11-19
Inventor： Amir Lev Tov , Avraham Faizakof , Arnon Mazza , Yochai Konig
Abstract: Methods, systems, and computer program product for automatically performing sentiment analysis on texts, such as telephone call transcripts and electronic written communications. Disclosed techniques include, inter alia, lexicon training, handling of negations and shifters, pruning of lexicons, confidence calculation for token orientation, supervised customization, lexicon mixing, and adaptive segmentation.
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公开(公告)号：US09971764B2
公开(公告)日：2018-05-15
申请号：US13952459
申请日：2013-07-26
Inventor： Amir Lev-Tov , Avraham Faizakof , David Ollinger , Yochai Konig
CPC classification number: G06F17/2785 , G06F17/3071 , G10L15/1822
Abstract: A method for identifying concepts in a plurality of interactions includes: filtering, on a processor, the interactions based on intervals; creating, on the processor, a plurality of sentences from the filtered interactions; computing, on the processor, a saliency of each the sentences; pruning away, on the processor, sentences with low saliency for generating a set of informative sentences; clustering, on the processor, the sentences of the set of informative sentences for generating a plurality of sentence clusters, each of the clusters corresponding to a concept of the concepts; computing, on the processor, a saliency of each of the clusters; and naming, on the processor, each of the clusters.
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公开(公告)号：US20180102126A1
公开(公告)日：2018-04-12
申请号：US15837980
申请日：2017-12-11
Inventor： Avraham Faizakof , Yoni Lev , Amir Lev-Tov , Yochai Konig
CPC classification number: G10L15/063 , G06F16/285 , G06F16/35 , G06F17/2755 , G06F17/2785 , G10L2015/0631 , G10L2015/223
Abstract: A method for detecting and categorizing topics in a plurality of interactions includes: extracting, by a processor, a plurality of fragments from the plurality of interactions; filtering, by the processor, the plurality of fragments to generate a filtered plurality of fragments; clustering, by the processor, the filtered fragments into a plurality of base clusters; and clustering, by the processor, the plurality of base clusters into a plurality of hyper clusters.
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Patent Agency Ranking
公开(公告)号：US20180096617A1
公开(公告)日：2018-04-05
申请号：US15282963
申请日：2016-09-30
Inventor： Tamir Tapuhi , Amir Lev-Tov , Avraham Faizakof , David Konig , Yochai Konig
CPC classification number: G09B7/00 , G06Q10/0639
Abstract: A method for automatically calculating an overall evaluation score of an interaction includes: receiving, by a processor, an evaluation form, the evaluation form comprising a plurality of automatic questions and a plurality of manual questions; automatically extracting, by a processor, a set of features from the interaction, the set of features comprising answers to the automatic questions without manually generated answers to the manual questions; and computing an overall evaluation score based on the set of features.
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公开(公告)号：US09842586B2
公开(公告)日：2017-12-12
申请号：US14327476
申请日：2014-07-09
Inventor： Avraham Faizakof , Yoni Lev , Amir Lev-Tov , Yochai Konig
CPC classification number: G10L15/063 , G06F17/2755 , G06F17/2785 , G06F17/30598 , G06F17/30705 , G10L2015/0631 , G10L2015/223
Abstract: A method for detecting and categorizing topics in a plurality of interactions includes: extracting, by a processor, a plurality of fragments from the plurality of interactions; filtering, by the processor, the plurality of fragments to generate a filtered plurality of fragments; clustering, by the processor, the filtered fragments into a plurality of base clusters; and clustering, by the processor, the plurality of base clusters into a plurality of hyper clusters.
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48.发明申请公开(公告)号：US20170206891A1
公开(公告)日：2017-07-20
申请号：US15247656
申请日：2016-08-25
Inventor： Amir Lev-Tov , Avraham Faizakof , Tamir Tapuhi , Yochai Konig
CPC classification number: G10L15/063 , G06F17/273 , G06N99/005 , G10L15/183 , G10L15/26 , G10L2015/0635 , G10L2015/0636 , G10L2015/088
Abstract: A method for extracting, from non-speech text, training data for a language model for speech recognition includes: receiving, by a processor, non-speech text; selecting, by the processor, text from the non-speech text; converting, by the processor, the selected text to generate converted text comprising a plurality of phrases consistent with speech transcription text; training, by the processor, a language model using the converted text; and outputting, by the processor, the language model.
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公开(公告)号：US20170206889A1
公开(公告)日：2017-07-20
申请号：US15478108
申请日：2017-04-03
Inventor： Amir Lev-Tov , Avraham Faizakof , Yochai Konig
Abstract: A method for predicting a speech recognition quality of a phrase comprising at least one word includes: receiving, on a computer system including a processor and memory storing instructions, the phrase; computing, on the computer system, a set of features comprising one or more features corresponding to the phrase; providing the phrase to a prediction model on the computer system and receiving a predicted recognition quality value based on the set of features; and returning the predicted recognition quality value.
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公开(公告)号：US20170118336A1
公开(公告)日：2017-04-27
申请号：US14919675
申请日：2015-10-21
Inventor： Tamir Tapuhi , Yochai Konig , Amir Lev-Tov , Avraham Faizakof , Yoni Lev
CPC classification number: H04M3/4938 , G06F16/3329 , G10L15/22 , H04M3/5166 , H04M7/0012
Abstract: A method for generating a dialogue tree for an automated self-help system of a contact center from a plurality of recorded interactions between customers and agents of the contact center includes: computing, by a processor, a plurality of feature vectors, each feature vector corresponding to one of the recorded interactions; computing, by the processor, similarities between pairs of the feature vectors; grouping, by the processor, similar feature vectors based on the computed similarities into groups of interactions; rating, by the processor, feature vectors within each group of interactions based on one or more criteria, wherein the criteria include at least one of interaction time, success rate, and customer satisfaction; and outputting, by the processor, a dialogue tree in accordance with the rated feature vectors for configuring the automated self-help system.
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