PATHS partner profile: i-Sieve technologies

i-sieve technologies has developed a suite of tools specifically targeted to online data collection and semantic analysis. Underlining these tools is our proprietary technology for data understanding, shaped in many years of academic research work by the team in information extraction, machine learning and web-based multimedia data analysis.

i-sieve technologies  serves corporate clients and media firms in Europe and the US with business intelligence applications  through online media analysis.

i-sieve technologies  analyses on-the-fly web-media, blogs, forums and chat-room contents to deliver sentiment snapshots and trend detection insights concerning:

• Brand reputation
• New product launches
• Marketing campaign impact
• Crisis management

The uniqueness of i-sieve technologies  stems from its strong technological background, as a spin-off activity of a research team with significant international presence.  The team already holds a patent on a method to automatically classify multi-lingual, semi-structured, multimedia electronic content.

Their multilingual and multimedia classification background is already crucial and will become an absolute competitive advantage as the online content to be analyzed starts exploiting rich media, where other vendors with text-processing technology will lag behind. 

Current competition, relying largely on scores of humans to identify and classify content manually will soon be unable to cope with the amount of consumer generated media. All our processes, apart from the initial sampling, are fully automated. Once the system is set up, fine-tuned and running (usually in 5 days or less), spot-checks are only needed at result delivery intervals.

i-sieve Technologies  offers Buzz sense  an online analytics service providing total brand exposure monitoring solutions for brands.

i-sieve Technologies  methods normalize simple mention measurements into meaningful insights on the sentiment polarity of the content, the paths and patterns of content spreading, as well as estimate the size of the audience the content is reaching.

Buzz sense  differentiates from competition by offering a holistic approach on Brand exposure through various sources and platforms

The Work Process

Mapping the influence: i-sieve Technologies  use their proprietary tools BuzzFactor & Tubefactor  to measure the influence of the findings and identify key authors/sites:

Recency		Recency
Number of viewers		Number of views
In-links		Duration
Number of comments		Comments
Keyword frequency		User votes & ratings
Google's PageRank
BuzzFactor  additionally estimates the size of the audience reached, hence the message’s influence		TubeFactor  also follows the uploaders’ profiles to assess their influence by looking into channels views, subscribers & friends of the user

Reporting and Online Dashboard:

Reporting Output and frequency can be tailored by brief, Dashboard Access enables users to view updated results on a daily basis