Manuel Montes-y-Gómez
PySS3: A Python package implementing a novel text classifier with visualization tools for Explainable AI
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t-SS3: a text classifier with dynamic n-grams for early risk detection over text streams
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Unmasking Bias in News
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A Comparative Analysis of Distributional Term Representations for Author Profiling in Social Media
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A Text Classification Framework for Simple and Effective Early Depression Detection Over Social Media Streams
* Highlights: (*) A novel text classifier having the ability to visually explain its rationale; (*) Domain-independent classification that does not require feature engineering; (*) Support for incremental learning and text classification over streams; (*) Efficient framework for addressing early risk detection problems; (*) State-of-the-art performance on early depression detection task
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Semantically-informed distance and similarity measures for paraphrase plagiarism identification
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A visual approach for age and gender identification on Twitter
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Gated Multimodal Units for Information Fusion
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Early text classification: a Naive solution
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Term-Weighting Learning via Genetic Programming for Text Classification
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