Python library for analyzing the concreteness and imageability of words and text. It provides tools to measure how abstract or concrete the language in a given text is, which can be useful for various natural language processing tasks, readability analysis, and linguistic research.
This is a simple tool for text dataset analysis and multiple datasets comparison. Keywords: corpus, text dataset, text distribution, part-of-speech(pos), zipf's-law, distinct value, concreteness
To build a regression model to predict the concrete compressive strength based on the different features in the training data.
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