Abstract: In one embodiment, the disclosed technology involves: digitally generating and storing a machine learning statistical topic model in computer memory, the topic model being programmed to model call transcript data representing words spoken on a call as a function of one or more topics of a set of topics that includes pre-seeded topics and non-pre-seeded topics; programmatically pre-seeding the topic model with a set of keyword groups; programmatically training the topic model using unlabeled training data; conjoining a classifier to the topic model to create a classifier model; programmatically training the classifier model using labeled training data; receiving target call transcript data; programmatically determining at least one of one or more topics of the target call or one or more classifications of the target call; and digitally storing the target call transcript data with additional data indicating the determined topics and/or classifications of the target call.

Abstract: In one embodiment, the disclosed technology involves: digitally generating and storing a machine learning statistical topic model in computer memory, the topic model being programmed to model call transcript data representing words spoken on a call as a function of one or more topics of a set of topics that includes pre-seeded topics and non-pre-seeded topics; programmatically pre-seeding the topic model with a set of keyword groups; programmatically training the topic model using unlabeled training data; conjoining a classifier to the topic model to create a classifier model; programmatically training the classifier model using labeled training data; receiving target call transcript data; programmatically determining at least one of one or more topics of the target call or one or more classifications of the target call; and digitally storing the target call transcript data with additional data indicating the determined topics and/or classifications of the target call.

Abstract: Systems and methods for improving call topic models are described herein. In an embodiment a server computer receives call transcript data comprising an electronic digital representation of a verbal transcription of a call between a first person of a first person type and a second person of a second person type. The server computer splits the call transcript data into first person type data comprising words spoken by the first person in the call and second person type data comprising words spoken by the second person type in the call.

Abstract: Systems and methods for improving call topic models are described herein. In an embodiment a server computer receives call transcript data comprising an electronic digital representation of a verbal transcription of a call between a first person of a first person type and a second person of a second person type. The server computer splits the call transcript data into first person type data comprising words spoken by the first person in the call and second person type data comprising words spoken by the second person type in the call.

Abstract: Methods and systems for reducing the impact of fraudulent or spam calls are disclosed. One or more calls to a first phone address are received, the first phone address not currently associated with a communication for a customer prospect. The calling party phone addresses associated with the calls received prior to the association of the first phone address to the first communication are stored. Then the first phone address is associated to the first communication. A first call to the first phone address is received. Prior to answering the first call and at least partly in response to a determination that a calling party phone address of the first call matches one of the previously stored calling party phone address, the first call is identified as a spam or otherwise undesirable call candidate and may be rejected.

Abstract: Methods and systems for reducing the impact of fraudulent or spam calls are disclosed. One or more calls to a first phone address are received, the first phone address not currently associated with a communication for a customer prospect. The calling party phone addresses associated with the calls received prior to the association of the first phone address to the first communication are stored. Then the first phone address is associated to the first communication. A first call to the first phone address is received. Prior to answering the first call and at least partly in response to a determination that a calling party phone address of the first call matches one of the previously stored calling party phone address, the first call is identified as a spam or otherwise undesirable call candidate and may be rejected.

Abstract: Methods and systems for reducing the impact of fraudulent or spam calls are disclosed. One or more calls to a first phone address are received, the first phone address not currently associated with a communication for a customer prospect. The calling party phone addresses associated with the calls received prior to the association of the first phone address to the first communication are stored. Then the first phone address is associated to the first communication. A first call to the first phone address is received. Prior to answering the first call and at least partly in response to a determination that a calling party phone address of the first call matches one of the previously stored calling party phone address, the first call is identified as a spam or otherwise undesirable call candidate and may be rejected.

Abstract: Methods and systems for reducing the impact of fraudulent or spam calls are disclosed. One or more calls to a first phone address are received, the first phone address not currently associated with a communication for a customer prospect. The calling party phone addresses associated with the calls received prior to the association of the first phone address to the first communication are stored. Then the first phone address is associated to the first communication. A first call to the first phone address is received. Prior to answering the first call and at least partly in response to a determination that a calling party phone address of the first call matches one of the previously stored calling party phone address, the first call is identified as a spam or otherwise undesirable call candidate and may be rejected.

Abstract: An online and offline communication processing and tracking system using data processing and data/voice networks is described. A phone address from a phone address number pool is automatically assigned to a first customer prospect communication. A call quality rating is determined and recorded. A call from a caller directed to the phone address is received at a call bridging system coupled to at least one network, wherein the call is associated with call signaling information. Based at least in part on the call quality associated with the caller call, the caller call is routed to entity placing a bid on the caller call. An outbound call is generated from the call bridging system and the inbound and the outbound calls are bridged.

Abstract: Methods and systems for reducing the impact of fraudulent or spam calls are disclosed. One or more calls to a first phone address are received, the first phone address not currently associated with a communication for a customer prospect. The calling party phone addresses associated with the calls received prior to the association of the first phone address to the first communication are stored. Then the first phone address is associated to the first communication. A first call to the first phone address is received. Prior to answering the first call and at least partly in response to a determination that a calling party phone address of the first call matches one of the previously stored calling party phone address, the first call is identified as a spam or otherwise undesirable call candidate and may be rejected.

Abstract: Methods and systems for reducing the impact of fraudulent or spam calls are disclosed. One or more calls to a first phone address are received, the first phone address not currently associated with a communication for a customer prospect. The calling party phone addresses associated with the calls received prior to the association of the first phone address to the first communication are stored. Then the first phone address is associated to the first communication. A first call to the first phone address is received. Prior to answering the first call and at least partly in response to a determination that a calling party phone address of the first call matches one of the previously stored calling party phone address, the first call is identified as a spam or otherwise undesirable call candidate and may be rejected.

Abstract: An online and offline communication processing and tracking system using data processing and data/voice networks is described. A phone address from a phone address number pool is automatically assigned to a first customer prospect communication. A call quality rating is determined and recorded. A call from a caller directed to the phone address is received at a call bridging system coupled to at least one network, wherein the call is associated with call signaling information. Based at least in part on the call quality associated with the caller call, the caller call is routed to entity placing a bid on the caller call. An outbound call is generated from the call bridging system and the inbound and the outbound calls are bridged.