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  1. Natural Language Processing

Conversation

PreviousChat BotsNextMethods

Last updated 1 year ago

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  1. by Cornell - is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the use of the toolkit on these datasets.

    1. A set of lexical and parse-based features correlating with politeness and impoliteness.

    2. A framework for characterizing utterances and terms based on their expected conversational context, consisting of model implementations and wrapper pipelines.

    3. A method for extracting structural features of conversations through a hypergraph representation.

    4. A method to compute the linguistic diversity of individuals within their own conversations, and between other individuals in a population.

ConvoKit
Politeness strategies
(API)
Expected Conversational Context Framework
(API)
Hypergraph conversation representation
(API)
Linguistic diversity in conversations
(API)