I'm a cloud convert...

Historically, Lexalytics has been very focused on the enterprise software market by building products that are easy to install, configure and get running. (Don't worry, we're not abandoning that model.) However, over the last 6 months or so we've been focused on the idea of building out a number of web based services aimed at extending our reach.

Understanding NLP - interview by Jason Falls, Social Media Explorer

Recently, Jeff spent some time speaking with Jason Falls (@jasonfalls) of and they discussed natural language processing, social media monitoring, Lexalytics' next product line Lexascope and more.

Twitter? Yes, we can analyze that…

If you've got tweets, we've got sentiment. And themes. And most mentioned people. And spam lists. In fact, the only issue we've run into is that Twitter won't give us all the data to analyze. All 100 gazillion tweets would be fascinating to analyze automatically, but they just don't seem to be there yet.

Basic understanding of sentiment

It seems lately that there are more and more companies offering sentiment solutions to a variety of markets.

Sentiment: Plenty of buzz, but focused in the wrong direction

Ever since the New York Time's article about sentiment scoring, published a couple of weeks ago, there has been a pretty constant stream of people jumping in and demonizing automated sentiment or trying to pedal its eventual takeover of the free world.

Search and text analytics - Easy as 1, 2, 3

Learn how Search and Text Analytics fit together in the enterprise, courtesy of Network World Video Library -

The sentiment analysis party has plenty of elbow room

I'm very excited. Yesterday, the New York Times published a piece: Mining the Web for Feelings, Not Fact.

Four questions when looking for a reputation management solution

Earlier this year Jeff outlined a few things you should consider when investigating a reputation management solution. Since we often get asked for our opinion on this topic, I thought it would be good to outline those "questions to ask" again.

The Changing Face of Text Analytics

So, it's been a while since I penned a blog post, and in this case that's a good thing, because its been a pretty busy summer. As I haven't blogged in a while, I thought it would be a good time for a "State of the State" sort of post, so without further delay...

Sentiment: A true tale of when bad was good

Sentiment is usually categorized into three buckets: positive, negative and neutral. It often get's presented looking something like this:

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