SPLM is a ranked opinion lexicon. We obtained the weights assigned to each word-tag pair by making use of the equations defined on the following paper which describe all details about this lexicon.
The file is tab delimited with:
Word: the words.
Tag: Part of speech (POS),
- r (adverb) - a (adjective).
Polarity: positive / negative.
- D(w): the final weight of the word according to the equations described in the following paper: If the value of D(w) is negative, w will be in the class of negative words. If the value of D(w) is positive, w will be in a positive class.
Almatarneh, Sattam, and Pablo Gamallo. "Automatic construction of domain-specific sentiment lexicons for polarity classification." International Conference on Practical Applications of Agents and Multi-Agent Systems. Springer, Cham, 2017.
If you use SPLM sentiment lexicon in your research, please cite the above paper:
- Pablo Gamallo Otero
- Sattam Al Matarneh Mohammad