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Found 7 papers, 3 papers with code
Incorporating Dictionaries into a Neural Network Architecture to Extract COVID-19 Medical Concepts From Social Media
A major difficulty in medical concept extraction is obtaining labelled data from which to build supervised models.
Monitoring Covid-19 on social media using a novel triage and diagnosis approach
An unsupervised rule-based algorithm is then applied to establish relations between concepts in the next step of the pipeline.
Supervised Phrase-boundary Embeddings
We propose a new word embedding model, called SPhrase, that incorporates supervised phrase information.
Market Trend Prediction using Sentiment Analysis: Lessons Learned and Paths Forward
Financial market forecasting is one of the most attractive practical applications of sentiment analysis.
Empirical Survival Jensen-Shannon Divergence as a Goodness-of-Fit Measure for Maximum Likelihood Estimation and Curve Fitting
We demonstrate, via a straightforward procedure making use of the ${\cal E}SJS$, that it can be used as part of maximum likelihood estimation or curve fitting as a measure of goodness-of-fit, including the construction of a confidence interval for the fitted parametric distribution.
Methodology Data Analysis, Statistics and Probability Statistical Finance
Bootstrap Domain-Specific Sentiment Classifiers from Unlabeled Corpora
There is often the need to perform sentiment classification in a particular domain where no labeled document is available.
The Anatomy of a Search and Mining System for Digital Archives
Samtla (Search And Mining Tools with Linguistic Analysis) is a digital humanities system designed in collaboration with historians and linguists to assist them with their research work in quantifying the content of any textual corpora through approximate phrase search and document comparison.
