News Analytical Toolkit: An Online Natural Language Processing Platform to Analyze News

被引:1
作者
McCann, Ian [1 ]
Tahmassebi, Amirhessam [1 ]
Foo, Simon Y. [2 ]
Erlebacher, Gordon [1 ]
Meyer-Baese, Anke [1 ]
机构
[1] Florida State Univ, Dept Sci Comp, Tallahassee, FL 32306 USA
[2] FAMU FSU Coll Engn, Dept Elect & Comp Engn, Tallahassee, FL 32310 USA
来源
NEXT-GENERATION ANALYST VI | 2018年 / 10653卷
关键词
Natural Language Processing; Sentiment Analysis; Tone Analyzing; Probabilistic Modeling; Latent Dirichlet Allocation;
D O I
10.1117/12.2304646
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In today's increasingly divided political climate there is a need for a tool that can compare news articles and organizations so that a user can receive a wider range of views and philosophies. News Analytical Toolkit allows a user to compare news sites and their political articles by coverage, mood, sentiment, and objectivity. The user can sort through the news by topic, which was determined using Natural Language Processing (NLP) and Latent Dirichlet Allocation (LDA). LDA is a probabilistic method used to discover latent topics within a series of documents and cluster them accordingly. Each news article can be considered a mix of multiple topics and LDA assigns a set of topics to each with a probability of it pertaining to that topic. For each topic, a user can then discover the coverage, mood, sentiment and objectivity expressed by each author and site. The mood was determined using IBM Watsons ToneAnalyzerV3, which uses linguistic analysis to detect emotional, social and language tones in written text. The analyzer is based on the theory of psycholinguistics, a field of research that explores the relationship between linguistic behavior and psychological theories. The sentiment and objectivity scores were determined using SentiWordNet, which is a lexical database that groups English words into sets of synonyms and assigns sentiment scores to them. The features were combined to plot an interactive graph of how opinionated versus how analytical an article is, so that the user can click through them to get a better understanding of the topic in question.
引用
收藏
页数:9
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