Until recently, text analysis, sometimes known as natural language processing, was a little-known specialty, but I’ve been working in this area since the 1980s. Suddenly, text analytics is the new hot area, so after 30 years I am an overnight success.
Text analytics is an umbrella term for a broad range of techniques that help computer programs “understand” text. Some uses for text analytics include:
Over my career, text analytics has undergone a huge shift from being based completely on linguistic rules to adding great reliance on machine learning algorithms that provide for more accurate answers.
Text analytics technology has many uses for businesses–everything from identifying your brand’s popularity in social media to automatically processing resumes for job seekers. Some uses for text analytics identify sales leads to increase revenue, while other uses focus on reducing the costs of jobs that human beings had to perform. I also have lots of experience with hybrid text analytics systems, where the technology does 70% of the job and humans clean up the parts that computers don’t yet do well.
If you have lots of text that you think a computer could analyze, I’d love to help. If you’re interested in talking to me about a consulting opportunity with your company, I’d like to hear from you, so please contact me.