Fuzzy matching is a machine learning technique that increases the accuracy of insights from data analysis.
In this article, we explore how semantic search is helping enterprises in getting ready for the future.
Semantic search is driven by the principle of logic beyond a search query’s linguistic context. Semantic algorithms map the connections between words and concepts and thus find contextual meaning in terms used by a person.
Take a look at 6 real-world examples of how sentiment analysis empowers businesses.
Is replacing your legacy system by future proofing it with Semantic Search a good idea? Most definitely.
How to make podcast files easily searchable to allow semantic indexing of the content using Semantic Search for Audio?
Explore the strategy to understand employee sentiment on social media and surveys using semantic analysis with VOE tools.