v.0.1.4 Release

[xehu]

This release incorporates a number of minor, but useful, changes.

New Release — v.0.1.4

1. Loading bar during feature generation helps users better understand the status of the features/estimated completion time.
2. Vectors are now batched for faster generation.
3. Vectors are now generated by default WITH punctuation, allowing for more accurate gauging of sentiment.
4. LIWC is no longer normalized as a rate (i.e., per 100 words), and is instead returned as raw count per utterance. This ensures that the aggregated values of LIWC are more sensible/interpretable. (De-normalize LIWC word counts #306)
5. Politeness and Receptiveness features are labeled with the source (e.g., “politeness_convokit” and “receptiveness_yeomans”) (Rename features to clarify the source (specifically, politeness and receptiveness) #300).
6. There is now an easier way to access the names of features and columns generated (by using my_feature_builder.feature_names) as well as to access the names of the columns generated (my_feature_builder.chat_features, my_feature_builder.conv_features_base, my_feature_builder.conv_features_all) (Create an easier way to expose the list of features generated by the featurebuilder #304)
7. Input parameters have defaults, so it’s easier than ever to use the FeatureBuilder (all you need is the input dataframe). (Have defaults for some of our required parameters #286)
8. You can generate files at all three levels automatically using the “output_file_base” parameter, rather than separately specifying the output paths for all three files. ([BUG]: output file #299)
9. The project website will now auto-update alongside changes in dev, and documentation has been updated alongside these changes.
10. Bug fixes for NLTK punkt: NLTK punkt_tab is not found and leads to issue #302