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Automatic detection of cognitive impairment in elderly people using an entertainment chatbot with Natural Language Processing capabilities
In the experiments, we have analysed the effect of stress and concentration in these users.
Explainable machine learning multi-label classification of Spanish legal judgements
Artificial Intelligence techniques such as Machine Learning (ML) have not been exploited to their maximum potential in the legal domain.
A Library for Automatic Natural Language Generation of Spanish Texts
In this article we present a novel system for natural language generation (NLG) of Spanish sentences from a minimum set of meaningful words (such as nouns, verbs and adjectives) which, unlike other state-of-the-art solutions, performs the NLG task in a fully automatic way, exploiting both knowledge-based and statistical approaches.
Explainable automatic industrial carbon footprint estimation from bank transaction classification using natural language processing
This analysis led to the proposal of a new explainable ML solution for automatic CF calculations through bank transaction classification.
A review on the use of large language models as virtual tutors
Transformer architectures contribute to managing long-term dependencies for Natural Language Processing, representing one of the most recent changes in the field.
Exposing and Explaining Fake News On-the-Fly
This work contributes with an explainable and online classification method to recognize fake news in real-time.
Creating emoji lexica from unsupervised sentiment analysis of their descriptions
Online media, such as blogs and social networking sites, generate massive volumes of unstructured data of great interest to analyze the opinions and sentiments of individuals and organizations.
Detection of Temporality at Discourse Level on Financial News by Combining Natural Language Processing and Machine Learning
Therefore, understanding the temporality of the key statements in a text is essential to separate context information from valuable predictions.
Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation
Financial news items are unstructured sources of information that can be mined to extract knowledge for market screening applications.
Automatic explanation of the classification of Spanish legal judgments in jurisdiction-dependent law categories with tree estimators
This is the first work on automatic analysis of legal texts combining NLP and ML along with Explainable Artificial Intelligence techniques to automatically make the models' decisions understandable to end users.
Targeted aspect-based emotion analysis to detect opportunities and precaution in financial Twitter messages
To the best of our knowledge, no prior work in the literature has addressed this problem despite its practical interest in decision-making, and we are not aware of any previous NLP nor online Machine Learning approaches to TABEA.
Identifying Banking Transaction Descriptions via Support Vector Machine Short-Text Classification Based on a Specialized Labelled Corpus
Short texts are omnipresent in real-time news, social network commentaries, etc.
Entertainment chatbot for the digital inclusion of elderly people without abstraction capabilities
Many of them relieve their loneliness with traditional media such as TV and radio, which are known to create a feeling of companionship.
Detection of financial opportunities in micro-blogging data with a stacked classification system
Specifically, we seek a high detection precision to present a financial operator a substantial amount of such tweets while differentiating them from the rest of financial emotions in our system.
