IBM Watson Discovery

Sentiment analysis from a large number of documents plays a crucial role for us.

The tool's ability to understand and derive insights from natural language text significantly improves information retrieval, enabling users to process and analyze unstructured data more efficiently. Among the NLP capabilities, sentiment analysis and entity recognition are often deemed crucial, as they provide valuable insights into user sentiments and help identify key entities within the data, contributing to more informed decision-making processes.

Team outcome and approach to solve a problem has changed a lot more productive and time bounded.

IBM Watson Discovery’s natural language processing capabilities has impacted our users’ experience by Improved Search Accuracy: With Watson Discovery's natural language processing capabilities, users can search for information using natural language queries instead of relying on specific keywords. This allows users to find relevant information more quickly and easily, even if they are not sure of the specific terminology or phrasing to use.

IBM Watson Discovery's Natural Language Processing (NLP) capabilities have hugely and positively impacted our users' experience, especially when we worked with legal SMEs and engineering SMEs. These capabilities helped these SMEs not only identify and, classify and tag documents but also helped enrich the content then highlight and summarize the answers that came up in the search results. The SMEs were very impressed because they knew that such capabilities would render them more productive and reduce the time they spend doing manual searches that often come back with useless results.

Definitely yes. IBM's engine for NLU (Natural Language Understanding) is, if not the best on the market; this in itself reduces the time needed to find what you are looking for, the insights offered by Discovery also help in reducing the search time, as it returns subjects correlated to the searched context.

Natural Language Processing in the case of Discovery allowed users to get access to relevant content at the point of initial request as opposed to having to wait for an agent. This is especially powerful for after working hours requests. The analytics features allow us to fine tune and optimise NLP results based on historical data further improving the customer experience.

Our team quickly implemented this product. Also, some senior members trained other employees without any external training. Also, it is efficient and saves time for our employees so they can be more productive.

The NLP has had a great impact on our customers as we saw a drastic change in our statistics of relevance and irrelevancy. The feature of rating the specific article makes this tool the best in the business as it helps to display the best article at the top in the order.