The Six Semantic Dimension Database: a large dataset of semantic ratings and its computational extension

We reports a database that contains subjective ratings for 17,940 commonly used Chinese words (and phrases) on six major semantic dimensions, including vision, motor, socialness, emotion, time, and space. Furthermore, by using computational models to learn the mapping relations between subjective ratings and word embeddings, we estimated the semantic ratings of 1,427,992 Chinese words and 1,515,633 English words. This database will be useful for studies on natural language processing, text analysis, and semantic representation in the brain. We reports a database that contains subjective ratings for 17,940 commonly used Chinese words (and phrases) on six major semantic dimensions, including vision, motor, socialness, emotion, time, and space. Furthermore, by using computational models to learn the mapping relations between subjective ratings and word embeddings, we estimated the semantic ratings of 1,427,992 Chinese words and 1,515,633 English words. This database will be useful for studies on natural language processing, text analysis, and semantic representation in the brain.