Propuesta_Maestría

By yerfer

  • (Ronen Feldman et al., 1998)

    Knowledge Management: A Text Mining Approach

  • (Thomas Hofmann, 2001)

    Unsupervised learning by probabilistic Latent Semantic Analysis

  • (Byungun Yoon et al., 2004)

    A text-mining-based patent network: Analytical tool for high-technology trend

  • (Walter Daelemans et al., 2008)

    Book: Machine Learning and Knowledge Discovery in Databases

  • (Steven Bird et al., 2009)

    Book: Natural language processing with Python

  • (N. Ur-Rahman et al., 2012)

    Textual data mining for industrial knowledge management and text classification: A business oriented approach

  • (Yoshua Bengio et al., 2013)

    Representation Learning: A Review and New Perspectives

  • (Tomas Mikolov et al., 2013)

    Distributed Representations of Words and Phrases and their Compositionality

  • (Jeffrey Pennington et al, 2014)

    Glove: Global Vectors for Word Representation

  • (Kim Yoon, 2014)

    Convolutional Neural Networks for Sentence Classification

  • (Arvind Neelakantan, 2015)

    Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space

  • (Mohamed Zakaria Kurdi, 2016)

    Book: Natural Language Processing and Computational Linguistics 1

  • (Shiliang Sun et al., 2017)

    A review of natural language processing techniques for opinion mining systems

  • (Mehdi Allahyari et al., 2017)

    A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques

  • (Linqing Liu et al., 2017)

    Generative Adversarial Network for Abstractive Text Summarization

  • (Alec Radford et al., 2018)

    Improving Language Understanding by Generative Pre-Training

  • (Matthew Peters et al., 2018)

    Deep Contextualized Word Representations

  • (Sebastian Ruder, 2018)

    NLP's ImageNet moment has arrived