Looking for Signals to Riches
August 6, 2016
I read “Invested Money Matters Most in Big Data Sentiment Analysis.” I puzzled over the headline for a moment and then realized that if a person or fund holds lots of shares and then criticizes that company on Twitter, the “signal” might be worth heeding.
Was I correct? I read the article and learned:
“Sentiment is something new to the financial industry because when we talk about sentiment we are looking at social media data, the news, blogs and other data. But we don’t stop at unstructured data sets. We also look at the sentiment by transaction. For example, we look at insider trading and some other signals. Actually, this is also called sentiment and, based on transaction datasets, more than the textual datasets. This sentiment factor is the attitude with which traders approach a stock, either positive or negative.
Well, gee whiz. I was correct.
The write up is quite enthusiastic about a company which looks for “sentiment” in order to divine the future. Common sense is much better when supported by nifty technologies; for example:
Kavout [a sentiment company the write up is excited about] is also in the process of deploying deep learning models to its data.
Yes, deep learning. Innovation is alive and well. I will struggle forward with fewer buzzwords, thank you.
Stephen E Arnold, August 7, 2016
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