cntext is a Python package for computational social science researchers who work with text data. It supports file reading, dictionary-based analysis, word frequency statistics, readability, similarity ...

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well there are some awesome-lists for word embeddings and sentence embeddings, but all of them are outdated and more importantly incomplete this repo will also be incomplete, but I'll try my best to ...

The ECO-SAM utilizes a pre-trained BERT encoder to obtain semantic embedding of input texts and then leverages a self-attention mechanism to model the semantic correlation between emotions.

In total, 5,251 discretized criteria were extracted from 216 protocols. The most frequent criterion was previous chemotherapy/biologics (17%). The multilabel SVM demonstrated a pooled accuracy of 75%.

Management School, Wuhan University of Technology, Wuhan, China. Emotional analysis is the process of analyzing, processing and extracting emotional subjective text using natural language processing ...

We show that the word embedding technique word2vec is mathematically equivalent to the gravity law of mobility, making it ideal for learning dense representations from migration data that can be ...

Most e-commerce platforms allow consumers to post product reviews, causing more and more consumers to get into the habit of reading reviews before they buy. These online reviews serve as an emotional ...