In this Review, we describe how natural language processing (NLP) can be used to analyse text data in behavioural science. First, we review applications of text data in behavioural science. Second, we describe the NLP pipeline and explain the underlying modelling approaches (for example, ...
Tom Markiewicz
Both service descriptions and requirements are often expressed in natural language (NL), and natural language processing (NLP) tools that can match requirements and service descriptions, while filtering out irrelevant options, might alleviate the problem of choice overload faced by analysts. In this ...
Natural language processing (NLP) is a subfield of machine learning whose goal is to computationally “learn, understand, and produce human language content” (Hirschberg & Manning,2015, p. 261; Hladka & Holub,2015). For example, researchers implemented automated speech analysis and machine learnin...
Informed by natural language processing and machine learning SyTrue relies on NLP and machine learning (ML) as the underlying technology. Using their own proprietary methods, they perform “context-driven information extraction.” In other words, they connect the dots. The graphic below shows their...
To the best of our knowledge, this is the first survey that focuses on using Natural Language Processing (NLP) and Machine Learning (ML) techniques to detect phishing emails. This study provides an analysis of the numerous state-of-the-art NLP strategies currently in use to identify phishing ...
Natural language processingObservational researchTarget trial frameworkThe increasing availability and accessibility of electronic health record (EHR) data has made it a rich secondary source to conduct comparative effectiveness studies. To perform such studies, many researchers are turning to the target ...
Manual curation of biological databases, an expensive and labor-intensive process, is essential for high quality integrated data. In this paper we report the implementation of a state-of-the-art Natural Language Processing system that creates computer-re
Our Applied Finance Project aims to develop a framework to determine if financial news headlines have meaningful impact on stock prices. This framework is a novdoi:10.2139/ssrn.2940564Chew, MingPuri, SahilSood, ArshWearne, AdamSocial Science Electronic Publishing...
The field of Natural Language Processing, and in particular the specific task of Grammatical Error Correction (GEC), also has corpora that can be of use in these kinds of analyses. In this paper, we take the FCE corpus, a popular dataset of English as a Second Language (ESL) learner ...