MoreThanSentiments: A Python Library for Text Quantification

A collection of functions that help researchers calculate Boilerplate, Redundancy, Specificity, Relative Prevalence, etc. in python

Introduction

MoreThanSentiments (Jiang and Srinivasan, 2022) is a python library written to help researchers calculate Boilerplate (Lang and Stice-Lawrence, 2015), Redundancy (Cazier and Pfeiffer, 2017), Specificity (Hope et al., 2016), Relative Prevalence (Blankespoor, 2019), etc. Nowadays, people frequently talk about text embedding, semantic similarity, intention detection, and sentiments analysis… However, MoreThanSentiments is inspired by the idea that properly …

library nlp open source python quantification software development text text-mining