AIMC Topic: Natural Language Processing

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Social media forensics applied to assessment of post-critical incident social reaction: The case of the 2017 Manchester Arena terrorist attack.

Forensic science international
Forensic science is constantly evolving and transforming, reflecting the numerous technological innovations of recent decades. There are, however, continuing issues with the use of digital data, such as the difficulty of handling large-scale collecti...

Unsupervised acquisition of idiomatic units of symbolic natural language: An n-gram frequency-based approach for the chunking of news articles and tweets.

PloS one
Symbolic sequential data are produced in huge quantities in numerous contexts, such as text and speech data, biometrics, genomics, financial market indexes, music sheets, and online social media posts. In this paper, an unsupervised approach for the ...

Block-term tensor neural networks.

Neural networks : the official journal of the International Neural Network Society
Deep neural networks (DNNs) have achieved outstanding performance in a wide range of applications, e.g., image classification, natural language processing, etc. Despite the good performance, the huge number of parameters in DNNs brings challenges to ...

Prediction of N6-methyladenosine sites using convolution neural network model based on distributed feature representations.

Neural networks : the official journal of the International Neural Network Society
N-methyladenosine (mA) is a well-studied and most common interior messenger RNA (mRNA) modification that plays an important function in cell development. NA is found in all kingdoms​ of life and many other cellular processes such as RNA splicing, imm...

Movie Review Summarization Using Supervised Learning and Graph-Based Ranking Algorithm.

Computational intelligence and neuroscience
With the growing information on web, online movie review is becoming a significant information resource for Internet users. However, online users post thousands of movie reviews on daily basis and it is hard for them to manually summarize the reviews...

Language as a biomarker for psychosis: A natural language processing approach.

Schizophrenia research
Human ratings of conceptual disorganization, poverty of content, referential cohesion and illogical thinking have been shown to predict psychosis onset in prospective clinical high risk (CHR) cohort studies. The potential value of linguistic biomarke...

How to automatically turn patient experience free-text responses into actionable insights: a natural language programming (NLP) approach.

BMC medical informatics and decision making
BACKGROUND: Patient experience surveys often include free-text responses. Analysis of these responses is time-consuming and often underutilized. This study examined whether Natural Language Processing (NLP) techniques could provide a data-driven, hos...

SemanticGO: a tool for gene functional similarity analysis in Arabidopsis thaliana and rice.

Plant science : an international journal of experimental plant biology
Gene or pathway functional similarities are important information for researchers. However, these similarities are often described sparsely and qualitatively. The latent semantic analysis of Arabidopsis thaliana (Arabidopsis) Gene Ontology (GO) data ...

Challenges of Developing a Natural Language Processing Method With Electronic Health Records to Identify Persons With Chronic Mobility Disability.

Archives of physical medicine and rehabilitation
OBJECTIVE: To assess the utility of applying natural language processing (NLP) to electronic health records (EHRs) to identify individuals with chronic mobility disability.

Summarization of biomedical articles using domain-specific word embeddings and graph ranking.

Journal of biomedical informatics
Text summarization tools can help biomedical researchers and clinicians reduce the time and effort needed for acquiring important information from numerous documents. It has been shown that the input text can be modeled as a graph, and important sent...