i-sieve Technologies
Half the money I spend on advertising is wasted; the trouble is, I don't know which half*. i-sieve technologies can tell you.
We perform Sentiment Analysis on responses to advertising campaigns, marketing and sponsorship programmes and more. What mnakes i-sieve stand out from the much more basic and more common buzz monitoring services is that i-sieve can tell you not only what people think about a company or brand by why.
Using cutting-edge document classification and data extraction techniques, i-sieve identifies blogs, message board posts, Twitter feeds, publicly accessible social network pages, You Tube videos and comments, as well as online articles, that make specific comments about the subject in question. These are classified as positive, negative, neutral and 'irrelevant but interesting.' Comments are extracted and tabulated so that customers see the relevant comment and the URL where it was found.
And we go further: by noting the number of links pointing to a given comment, and the number of times a comment is repeated, with or without citation, we can assess its relative importance and influence. This allows us not only to identify the sentiments expressed by consumers but also the sentiment drivers.
My role
Naturally, i-sieve is always looking for ways to improve its services and that means, among other things, making increased use of Semantic Web data, linked data sets and social connections. It is for this reason that i-sieve funds my work on POWDER and wider contributions to the development of metadata on the Web. I also act as UK representative for the company, attending meetings and presenting our work. See the company website for more details of i-sieve Technologies' sentiment analysis.
*John Wanamaker, 1922