ConvoKit 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.
For example, corpus.update_utterance_metadata(df) would add / update the metadata fields of all the Utterances in the Corpus according to the index-value pairs in the input dataframe.
The motivation is to make things easier for those who work primarily with pandas dataframes and may generate additional labels for objects via dataframes first before trying to add them to corpus components. (This is similar to the motivation for #69>)
For example,
corpus.update_utterance_metadata(df)would add / update the metadata fields of all the Utterances in the Corpus according to the index-value pairs in the input dataframe.The motivation is to make things easier for those who work primarily with pandas dataframes and may generate additional labels for objects via dataframes first before trying to add them to corpus components. (This is similar to the motivation for #69>)