Salience 4.3: Opinion Mining

One of the two major new features in Salience 4.3 (releasing around June 30th) is "opinion mining". Opinion mining expands our core technology to handle indirect quotes. We've been able to extract quote-mark delimited quotes for a while now, and you could perform further analysis on those quotes (which were attached to the speaker).

Using queries to recognize entities

Entity extraction in text analytics is the basis of the entire process - identify people, places, companies and themes and use them to better understand the content.

Lexalytics Sentiment Spectrum

Sentiment Analysis solutions are popping up everywhere these days - or so it seems. Every day there is a blog post, or Twitter post (or 100), asking how it works or arguing a point about sentiment and what exactly it means. There has been an increase in articles covering everything from automated solutions vs.

Textual Analysis of Financial News Stories

I came across an interesting blog post in Technology Review that showcased the Arizona Financial Text system (AZFin Text).

The spread of "lytics"

For over 7 years we've been known as Lexalytics. I'll be honest, I didn't pick the name so I can't take credit. However, I often get asked what it means or where it came from. To us, it's pretty simple.

Text Analytics Summit 2010 recap - A very different experience

Last week I attended the 6th annual Text Analytics Summit in Boston with the Lexalytics team and it was noticeably different from years past. There were fewer vendors in attendance, and while the overall attendance seemed to be down a bit from the year before, there were more end users in attendance than previous years.

Can sentiment stand on its own?

I attended the first Sentiment Analysis Symposium in NYC last week and thought it all came off reasonably well. It was interesting how the show really broke down into two very distinct schools of thought. There were the reputation management and social media monitoring folks that were by and large unhappy with the state of the technology.

Sentiment and the UK elections

Following on from doing live Twitter analysis of Thursday nights UK Election debate, I thought it might be interesting to see how what the leaders were actually saying scored, and more importantly, what words and language they were using to make the point.

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