Textual Analysis and Psychological Dictionaries

It is becoming common these days for researchers to comb through and process large data sets such as tweets and other web based data. The purpose of such research is to determine the general mood of the society. Researchers are trying to quantify the public sentiment on various subjects. More specific applications involve attempts to measure the investor sentiment on specific companies or sometimes attempts to determine macro-economic trends.

Natural Language Processing and Textual Analysis is a huge subject. This inter-disciplinary field is the culmination of developments in many different disciplines especially Psychology, Linguistics and Computer Science.

Loughran and McDonald Financial Sentiment Dictionaries

Harvard-IV-4 Negative Words List (as maintained at Bill McDonald’s site)

This is a very active area among the academics and investment professionals but I think that these psychological dictionaries can be used to create art as well. When I have free time I will write a computer program to process text to produce art images based on these dictionaries and certain mathematical algorithms. I think that it is possible to represent the “mood” of a text as an image. Same argument applies to sound. It should be possible to reflect the mood of the text as sound or music. I invite all creative types out there to work on these art forms.

About Suresh Emre

I have worked as a physicist at the Fermi National Accelerator Laboratory and the Superconducting Super Collider Laboratory. I am a volunteer for the Renaissance Universal movement. My main goal is to inspire the reader to engage in Self-discovery and expansion of consciousness.
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