data_dictionary_sentiment

<p>Seed words for analysis of positive-negative sentiment</p>

A word embeddings-based semi-supervised model for document scaling Watanabe (2020) <doi:10.1080/19312458.2020.1832976>.
LSS allows users to analyze large and complex corpora on arbitrary dimensions with seed words exploiting efficiency of word embeddings (SVD, Glove).
It can generate word vectors on a users-provided corpus or incorporate a pre-trained word vectors.

data_dictionary_sentiment: Seed words for analysis of positive-negative sentiment

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