Theoretical (Analytical):

Practical (Implementation):

Literature Work:

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Overview and Problem Statement

Text documents include various micro-linguistic features, e.g., sentiment, topics, agreement, emotion, etc. In the visual analysis of linguistic data, researchers often stumble upon the need to analyze the relation of micro-linguistic features in a text. These features build the basis of scores and measures that are based on linguistic data. In this project, the aim is to develop a visual framework for the efficient annotation of micro-linguistic features independent of text type. Features can be generated on many granularities, e.g., words, multi-words, sentences, paragraphs, documents, document-collections, etc.

Tasks

• Review frequently used linguistic features (in collaboration with the our partners in linguists).
• Derive an abstract framework for the simple calculation of micro-linguistic features.
• Implement methods for the extraction of linguistic features from a text corpus.
• Implement a visual interface for the interactive categorization, aggregation, and renaming of the extracted features.
• Generate a tagged document structure as an output of your tool.

Requirements

• Good knowledge about information visualization and natural language processing.
• Good programming skills in Java and JavaScript/D3.

Scope/Duration/Start

• Scope: Bachelor/Master
• 6 Month Project, 3 Month Thesis (Bachelor) / 6 Month Thesis (Master)
• Start: immediately

Contact

• Menna El-Assady