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4 Courses

Computational Analysis of Communication 2ED
Research methodology
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Teacher: Carlos Arcila Calderón

Computational Analysis of Communication 2ED

This workshop focuses on the application of the supervised and unsupervised texts analysis technique to real-time Twitter messages that can help social researchers to detect social trends or citizens’ attitudes. Participants will learn the very basis of programming in Python and will be able to retrieve messages of Facebook and Instagram via CrowdTangle. In addition, they will learn the mathematical representation of text (BoW, Embeddings, Transformers), the basis of natural language processing (tokenizing, stemming, lemmatizing, stop words, frequency of words, etc.) and will learn lexicon-based sentiment analysis. The workshop will focus on supervised and unsupervised machine learning applied to unstructured data with different algorithms implemented in Scikit-Learn (naive bayes, logistic regression, support vector machines, etc.), Gensim, and TensorFlow / Keras (RNN). 

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  • Teacher: Alejandro Carbonell AlcocerTeacher: Juan Romero-Luis

    Aplicación práctica de una Revisión Sistemática de Literatura en el marco del proyecto eComciencia

    Sesión destinada a conocer en profundad cómo llevar a cabo una revisión sistemática de literatura.

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  • Computational Analysis of Communication
    Research methodology
    Preview Course

    Teacher: Carlos Arcila CalderónTeacher: Margarita del Rocío Tovar Torrealba

    Computational Analysis of Communication

    This workshop focuses on the application of the supervised and unsupervised texts analysis technique to real-time Twitter messages that can help social researchers to detect social trends or citizens’ attitudes. Participants will learn the very basis of programming in Python and will be able to retrieve tweets with Streaming and Rest APIs of Twitter. In addition, they will learn the mathematical representation of text (BoW, Embeddings, Transformers), the basis of natural language processing (tokenizing, stemming, lemmatizing, stop words, frequency of words, etc.) and will learn lexicon-based sentiment analysis. The workshop will focus on supervised and unsupervised machine learning applied to unstructured data with different algorithms implemented in Scikit-Learn (naive bayes, logistic regression, support vector machines, etc.), Gensim, and TensorFlow / Keras (RNN). 

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  • Neurocomunicación con iMotions
    Research methodology
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    Teacher: Juan Romero-Luis

    Neurocomunicación con iMotions

    Este curso, desarrollado por Juan Romero Luis como parte de su tesis doctoral, te proporcionará una comprensión sólida de cómo realizar un estudio de A/B utilizando el software iMotion. Cubrirá los aspectos clave de la configuración de los estudios de A/B, la recopilación y análisis de datos y la interpretación y aplicación de los resultados con dicho software.


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