What’s the purpose of semantic technology?
Semantic Analysis for Social Media
Social Media produce a wealth of content that we can barely imagine. Semantic Technologies are the only way to listen to and understand what people are saying, what
they like or dislike… or which new trends are emerging…
they like or dislike… or which new trends are emerging…
Text-analytics for Business Intelligence
Business Intelligence is more than crunching numbers. Valuable information is conveyed in the form of text (news, tweets, polls…) and integrating its meaning with
traditional numeric sources provides a different insight on reality. In the area of social media and CRM, many people call this “Social CRM”.
traditional numeric sources provides a different insight on reality. In the area of social media and CRM, many people call this “Social CRM”.
Semantic Search
Keyword-based search (exact match between a user query and a set of texts) has proven to be limited for users (for instance, the query “mergers between companies”
would not return results with phrases like “merged companies”). Current Semantic Technology can make search easier and more effective for end users with different types of tools: semantically enhanced search
engines, virtual assistants, single-box search…
would not return results with phrases like “merged companies”). Current Semantic Technology can make search easier and more effective for end users with different types of tools: semantically enhanced search
engines, virtual assistants, single-box search…
Semantic Advertising
In current web contextual advertising, placing the right ad in the right context has a clear economic impact. Semantics can help contextual advertising engines to
better identify which webpage is relevant for a given ad. For example: current engines would associate keyword “mineral water” (from Evian for example) with a text like “there are plenty of minerals under the waters of the South Pacific”
better identify which webpage is relevant for a given ad. For example: current engines would associate keyword “mineral water” (from Evian for example) with a text like “there are plenty of minerals under the waters of the South Pacific”
CV Parsing
Storing CVs, by hundreds of thousands, is common practice in large corporations and employment agencies. However, storing them as we receive them, as raw text in different formats, makes them hard to exploit. CV parsing is about converting these CVs into database records, so they can be easily exploited. Semantics can do the reading, understanding and structuring of a CV into a database record.
Spam Filtering based on Content Filtering
Despite heavy investments in spam filtering, we still receive spam every day; and, much worse, we miss relevant messages incorrectly classified as spam. Understanding what a
message is about is a task for Semantics.
message is about is a task for Semantics.
