HGP9030 Introduction to Python for Text Analysis
Introduction to Python for Text Analysis (04 créditos)
Justificativa
Python is one of the most accessible programming languages, it is used for data manipulation, especially texts. In the area of Translation Studies, practical knowledge of this language is essential to enable researchers and students to manipulate corpora of texts, to make statistical analyses, to produce graphs from them, as well as, at more advanced levels, for the study of machine translation systems and linguistic research through the use of the natural language frameworks such as NLTK, CLTK, SpaCy etc.
Objetivos
1. To introduce the basic notions of computer science, algorithms and programming languages;
2. To introduce the basic elements of the Python programming language;
3. To introduce the Natural Language Toolkit (NLTK) for NLP processing and manipulation
3. To provide the basic skill so that at the end of the course the students are able to design and develop a small project.
Ementa
This course aims to provide students with the basic elements of the Python programming language in its versions 2 and 3, with emphasis in the latter, and introduce them to the Natural Language Toolkit.
