examples/README.md

torchMoji examples

Initialization

create_twitter_vocab.py
Create a new vocabulary from a tsv file.

tokenize_dataset.py
Tokenize a given dataset using the prebuilt vocabulary.

vocab_extension.py
Extend the given vocabulary using dataset-specific words.

dataset_split.py
Split a given dataset into training, validation and testing.

Use pretrained model/architecture

score_texts_emojis.py
Use torchMoji to score texts for emoji distribution.

encode_texts.py
Use torchMoji to encode the text into 2304-dimensional feature vectors for further modeling/analysis.

Transfer learning

finetune_youtube_last.py
Finetune the model on the SS-Youtube dataset using the 'last' method.

finetune_insults_chain-thaw.py
Finetune the model on the Kaggle insults dataset (from blog post) using the 'chain-thaw' method.

finetune_semeval_class-avg_f1.py
Finetune the model on the SemeEval emotion dataset using the 'full' method and evaluate using the class average F1 metric.