Explore the strategy to measure customer sentiment on social media and surveys using semantic analysis with VoC tools.
Take a look at the process of performing sentiment analysis in multiple languages using a group of semantic technologies to extract business insights.
Semantic technologies help data scientists to turn unstructured data into high quality information and actionable knowledge.
Identify the best sentiment analysis method that can help you identify the quality of your product and services and how your customers perceive it
Understand and monitor customer opinion and social trends from tweets with Repustate's social listening platform for twitter data analysis.
Here’s a simple task: given the sentence “Any good restaurants near Ballard or Fremont?” figure out what the person is referring to. Where are Ballard and Fremont? What are Ballard or Fremont? This (relatively) simple task illustrates the challenges of AI and machine learning. How do we train a language model to understand the intent of the query and resolve any entities as accurately as a person would but much faster?
Despite the noise and nonsensical hash tags, Twitter actually does contain some useful information. You just need the tools to find it. When Repustate first opened its doors, we saw a lot of content coming from established media sources. The overwhelming majority of content being pushed through our API by our developer partners came from sites like the New York Times and TechCrunch.