A Deep Learning-Based Approach to Constructing a Domain Sentiment Lexicon: a Case Study in Financial Distress Prediction

Incorporating stock prices and news sentiments for stock market prediction: A case of Hong Kong

(2020) Xiaodong Li et al.   INFORMATION PROCESSING & MANAGEMENT

SentiDraw: Using star ratings of reviews to develop domain specific sentiment lexicon for polarity determination

(2020) Shashank Shekhar Sharma et al.   INFORMATION PROCESSING & MANAGEMENT

Text Mining for Big Data Analysis in Financial Sector: A Literature Review

(2019) Mirjana Pejić Bach et al.   Sustainability

Attention-based long short-term memory network using sentiment lexicon embedding for aspect-level sentiment analysis in Korean

(2019) Minchae Song et al.   INFORMATION PROCESSING & MANAGEMENT

Sentiment mining in a collaborative learning environment: capitalising on big data

(2019) R. K. Jena   BEHAVIOUR & INFORMATION TECHNOLOGY

Integrated CNN- and LSTM-DNN-based sentiment analysis over big social data for opinion mining

(2019) P. Kaladevi et al.   BEHAVIOUR & INFORMATION TECHNOLOGY

A new random subspace method incorporating sentiment and textual information for financial distress prediction

(2018) Gang Wang et al.   Electronic Commerce Research and Applications

Sentiment analysis of Chinese micro-blog text based on extended sentiment dictionary

(2018) Shunxiang Zhang et al.   Future Generation Computer Systems-The International Journal of eScience

Generate domain-specific sentiment lexicon for review sentiment analysis

(2018) Hongyu Han et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Mining corporate annual reports for intelligent detection of financial statement fraud – A comparative study of machine learning methods

(2017) Petr Hajek et al.   KNOWLEDGE-BASED SYSTEMS

A two-stage classification technique for bankruptcy prediction

(2016) Philippe du Jardin   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

A survey of the applications of text mining in financial domain

(2016) B. Shravan Kumar et al.   KNOWLEDGE-BASED SYSTEMS

Prediction of financial distress: An empirical study of listed Chinese companies using data mining

(2015) Ruibin Geng et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Word Polarity Disambiguation Using Bayesian Model and Opinion-Level Features

(2014) Yunqing Xia et al.   Cognitive Computation

Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches

(2013) Jie Sun et al.   KNOWLEDGE-BASED SYSTEMS

Automatic construction of domain-specific sentiment lexicon based on constrained label propagation

(2013) Sheng Huang et al.   KNOWLEDGE-BASED SYSTEMS

SentiFul: A Lexicon for Sentiment Analysis

(2011) A Neviarouskaya et al.   IEEE Transactions on Affective Computing

Gaussian case-based reasoning for business failure prediction with empirical data in China

(2008) Hui Li et al.   INFORMATION SCIENCES