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公开(公告)号:US09438732B2
公开(公告)日:2016-09-06
申请号:US14021889
申请日:2013-09-09
Applicant: Avaya Inc.
Inventor: David Skiba , George W. Erhart , Lee Becker , Valentine C. Matula
CPC classification number: H04M3/5175 , A47L13/20 , G06F17/27 , G06F17/28 , G06Q50/01 , G10L15/18 , G10L15/1822 , H04L51/046 , H04L51/32 , H04M2201/18 , H04M2203/357 , H04M2203/551
Abstract: A contact center system can receive messages from social media sites or centers. The messages may be in a foreign language. The system can review messages by identifying content in the social media messages with negative/positive sentiment and then identify a seed term in the messages. A seed term can be a word in another language, different from the message body. The seed term is then used to find one or more other words, in the foreign language, that are correlated with the seed term. The identification of the found words in other messages can then be used to determine sentiment in the foreign language.
Abstract translation: 联络中心系统可以接收来自社交媒体网站或中心的消息。 消息可能是外语。 系统可以通过在社交媒体消息中识别消息/积极情绪的内容来查看消息,然后在消息中识别种子字词。 种子术语可以是另一种语言的单词,不同于消息体。 然后使用种子术语来查找与种子术语相关的一种或多种其他外语词。 其他消息中找到的单词的识别可以用于确定外语的情绪。
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公开(公告)号:US09451085B2
公开(公告)日:2016-09-20
申请号:US14047812
申请日:2013-10-07
Applicant: Avaya Inc.
Inventor: David Skiba , George W. Erhart , Lee Becker
CPC classification number: H04M3/5175 , A47L13/20 , G06F17/27 , G06F17/28 , G06Q50/01 , G10L15/18 , G10L15/1822 , H04L51/046 , H04L51/32 , H04M2201/18 , H04M2203/357 , H04M2203/551
Abstract: A contact center system can receive messages from social media sites or centers. The messages may include derogatory or nefarious content. The system can review messages to identify the message as nefarious and identify the poster as a social media provocateur. The system may then automatically respond to the nefarious content. Further, the system may prevent future nefarious conduct by the identified social media provocateur by executing one or more automated procedures.
Abstract translation: 联络中心系统可以接收来自社交媒体网站或中心的消息。 消息可能包括贬损或恶意内容。 该系统可以查看消息,将消息识别为恶意,并将该标签识别为社交媒体挑衅者。 然后系统可以自动响应恶意内容。 此外,该系统可以通过执行一个或多个自动化程序来防止所识别的社交媒体挑衅者的未来恶意行为。
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公开(公告)号:US10425363B2
公开(公告)日:2019-09-24
申请号:US15289736
申请日:2016-10-10
Applicant: AVAYA INC
Inventor: David Skiba , Reinhard Klemm , Patrick Tendick , George W. Erhart , Wen-Hua Ju
Abstract: Systems are provided to manage pauses, including on-hold, conditions in communications, such as text-based communications. Users may be provided with messages at a pace that, among other things, allows a particular cadence of messages to be maintained, even if a reply has been created. Accordingly, resources of a contact center may be better allocated to other matters requiring attention without causing undue customer dissatisfaction or the burden of handling additional messages. While voice-based “hold” conditions may be managed with messages or music on hold, text-based communications may be managed with social messaging content and/or comfort messages.
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公开(公告)号:US10134391B2
公开(公告)日:2018-11-20
申请号:US15457152
申请日:2017-03-13
Applicant: Avaya Inc.
Inventor: George W. Erhart , Valentine C. Matula , David J. Skiba
IPC: G10L15/06 , G06F15/16 , G10L15/065 , H04M3/51 , H04L12/58 , G06Q50/00 , G06Q30/02 , G10L15/30 , G10L15/02 , G10L25/51 , G06F17/30
Abstract: System and method to adjust an automatic speech recognition (ASR) engine, the method including: receiving social network information from a social network; data mining the social network information to extract one or more characteristics; inferring a trend from the extracted one or more characteristics; and adjusting the ASR engine based upon the inferred trend. Embodiments of the method may further include: receiving a speech signal from a user; and recognizing the speech signal by use of the adjusted ASR engine. Further embodiments of the method may include: producing a list of candidate matching words; and ranking the list of candidate matching words by use of the inferred trend.
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公开(公告)号:US20170186419A1
公开(公告)日:2017-06-29
申请号:US15457152
申请日:2017-03-13
Applicant: Avaya Inc.
Inventor: George W. Erhart , Valentine C. Matula , David J. Skiba
IPC: G10L15/065 , H04L12/58 , G06Q50/00 , G06F17/30 , G10L15/30 , G10L15/06 , G10L15/02 , G10L25/51 , H04M3/51 , G06Q30/02
CPC classification number: G10L15/065 , G06F17/30675 , G06F17/30705 , G06F17/30746 , G06Q30/0281 , G06Q50/01 , G10L15/02 , G10L15/06 , G10L15/063 , G10L15/197 , G10L15/30 , G10L25/51 , G10L2015/0635 , H04L51/32 , H04M3/5166 , H04M3/5191 , H04M2201/40 , H04M2203/40 , H04M2203/655
Abstract: System and method to adjust an automatic speech recognition (ASR) engine, the method including: receiving social network information from a social network; data mining the social network information to extract one or more characteristics; inferring a trend from the extracted one or more characteristics; and adjusting the ASR engine based upon the inferred trend. Embodiments of the method may further include: receiving a speech signal from a user; and recognizing the speech signal by use of the adjusted ASR engine. Further embodiments of the method may include: producing a list of candidate matching words; and ranking the list of candidate matching words by use of the inferred trend.
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公开(公告)号:US20140303981A1
公开(公告)日:2014-10-09
申请号:US14021889
申请日:2013-09-09
Applicant: Avaya Inc.
Inventor: David Skiba , George W. Erhart , Lee Becker , Valentine C. Matula
CPC classification number: H04M3/5175 , A47L13/20 , G06F17/27 , G06F17/28 , G06Q50/01 , G10L15/18 , G10L15/1822 , H04L51/046 , H04L51/32 , H04M2201/18 , H04M2203/357 , H04M2203/551
Abstract: A contact center system can receive messages from social media sites or centers. The messages may be in a foreign language. The system can review messages by identifying content in the social media messages with negative/positive sentiment and then identify a seed term in the messages. A seed term can be a word in another language, different from the message body. The seed term is then used to find one or more other words, in the foreign language, that are correlated with the seed term. The identification of the found words in other messages can then be used to determine sentiment in the foreign language.
Abstract translation: 联络中心系统可以接收来自社交媒体网站或中心的消息。 消息可能是外语。 该系统可以通过在社交媒体消息中识别消极/积极情绪的内容来查看消息,然后在消息中识别种子字词。 种子术语可以是另一种语言的单词,不同于消息体。 然后使用种子术语来查找与种子术语相关的一种或多种其他外语词。 其他消息中找到的单词的识别可以用于确定外语的情绪。
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公开(公告)号:US20140301540A1
公开(公告)日:2014-10-09
申请号:US14023018
申请日:2013-09-10
Applicant: Avaya Inc.
Inventor: David Skiba , George W. Erhart , Lee Becker , Valentine C. Matula
IPC: H04M3/51
CPC classification number: H04M3/5175 , A47L13/20 , G06F17/27 , G06F17/28 , G06Q50/01 , G10L15/18 , G10L15/1822 , H04L51/046 , H04L51/32 , H04M2201/18 , H04M2203/357 , H04M2203/551
Abstract: A contact center system can receive messages from consumers. The system can then interact with the consumer or customer using a dialog. Before conducting the session with the consumer, past interactions using the dialog are reviewed to determine words, phrases, and other information that caused the dialog to be successful. The information is stored as norms. Upon beginning a new interaction with the dialog, the norms and the past successful dialogs are retrieved and compared to the active dialog while the interaction is on-going. The comparison is then used to ensure that the present active dialog will lead to a successful outcome or to resolve any issued if the outcome is not likely to be successful.
Abstract translation: 联络中心系统可以接收消费者的消息。 然后,系统可以使用对话框与消费者或客户进行交互。 在与消费者进行会议之前,将审查使用对话框的过去交互,以确定导致对话框成功的单词,短语和其他信息。 信息存储为规范。 在与对话框开始新的交互之后,将会检索规范和过去成功的对话框,并将其与活动对话框进行比较,同时进行交互。 然后使用比较来确保当前的活动对话将导致成功的结果,或者如果结果不太可能成功,则解决任何已发布的对话。
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公开(公告)号:US20140297764A1
公开(公告)日:2014-10-02
申请号:US14020674
申请日:2013-09-06
Applicant: Avaya Inc.
Inventor: David Skiba , George W. Erhart , Lee Becker , Valentine C. Matula
IPC: H04L12/58
CPC classification number: H04M3/5175 , A47L13/20 , G06F17/27 , G06F17/28 , G06Q50/01 , G10L15/18 , G10L15/1822 , H04L51/046 , H04L51/32 , H04M2201/18 , H04M2203/357 , H04M2203/551
Abstract: A contact center system can receive messages from social media sites or centers. The system can review long messages by identifying content in the long message with negative sentiment. The content with negative sentiment is further analyzed to determine whether the identified content is actionable. If the identified content is actionable, the communication system can automatically routed the long message to an agent for response.
Abstract translation: 联络中心系统可以接收来自社交媒体网站或中心的消息。 系统可以通过在长消息中识别内容以负面情绪来查看长消息。 进一步分析具有消极情绪的内容,以确定所识别的内容是否可操作。 如果所识别的内容是可操作的,则通信系统可以将长消息自动路由到代理以作出响应。
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公开(公告)号:US10003692B2
公开(公告)日:2018-06-19
申请号:US15298914
申请日:2016-10-20
Applicant: AVAYA INC
Inventor: David Skiba , Reinhard Klemm , Patrick Tendick , George W. Erhart , Wen-Hua Ju
CPC classification number: H04M3/5191 , H04L51/02 , H04M3/5141 , H04M3/5175 , H04M7/0042 , H04M2203/2061
Abstract: Text-based automated customer service agents provide an attractive contact center interaction for may customer-agent communications. However, the “say anything” nature of text may result in additional problems not encountered in prompted interactions. A single misunderstanding or error may cause an automated communication to fail, however, by providing micro-tasks to a human agent, an automated communication may be maintained longer with benefit of a human agent's input. A lack of progress towards completion of a work item may cause the communication to be routed to a human agent and/or a different channel (e.g., voice, email, etc.). Accordingly, a micro-task or an opt-out operation may be provided to maintain the communication with an automated agent for as long as possible but yet provide improved customer service when necessary.
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公开(公告)号:US09894206B2
公开(公告)日:2018-02-13
申请号:US15285160
申请日:2016-10-04
Applicant: AVAYA INC.
Inventor: David Skiba , George W. Erhart , Patrick Tendick , Wen-Hua Ju
IPC: H04M3/51
CPC classification number: H04M3/5175 , G06Q10/063118 , G06Q30/016 , H04M3/42382 , H04M3/5166 , H04M2203/401 , H04M2203/402 , H04M2203/551 , H04M2203/6027
Abstract: Contact centers comprise agents, human and automated, interacting with customers over a network to accomplish an objective for the interaction. While a blunt, factual exchange may appear to be the most expeditious means to accomplish the objective, often this is not the case. Humans often respond better when the interaction comprises a mix of progress (e.g., portions of the interaction directed towards the objective) and banter (e.g., portions of the interaction not directed to the progress). Determining the mix may be provided by analyzing historic interactions and their success. A current interaction may be analyzed and when the mix is outside an acceptable range and an automated agent may be configured to alter the mix accordingly or, when the agent is a human, signal the agent to make the alteration. Success may be continually monitored and the target mix adjusted based on subsequent interactions.
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