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Implementation of master's thesis "Semantic Exploration of Text Documents with Multi-Faceted Metadata Employing Word Embeddings: The Patent Landscaping Use Case" written at KIT in cooperation with inovex GmbH in 2018-2019

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/demo contains the d3.js prototype.

/notebooks contains exploratory notebooks and pipelines for data preprocessing.

/src contains external javascript libraries and own python modules.

/thesis contains the text of the thesis in Latex format and the final PDF

To run the demo, run

python -m http.server

from the root folder of the repository. Then open 'http://localhost:8000/demo/'

By default, only a small dataset (ca. 300 patents) about hair dryers is available. Download other datasets (video codec, 3D printer, contact lens) for the folder /demo/data at 'https://drive.google.com/drive/folders/1XUuUfL_HCaxcza2RczJTROMhr5h0IiOg?usp=sharing'.

The contact lens dataset is the most interesting one and it was used in the evaluation of the proposed visualization approach.

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Implementation of master's thesis "Semantic Exploration of Text Documents with Multi-Faceted Metadata Employing Word Embeddings: The Patent Landscaping Use Case" written at KIT in cooperation with inovex GmbH in 2018-2019

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