An Excellent Tool for Text Analytics
Use Cases and Deployment Scope
There are multiple business problems you get from your clients where you need to study a lot of unstructured data. It could be ranging from social media analytics or call centre data or any review data. Text mining is the process of deriving high-quality information from text. This software is much intuitive and easy to use. Text mining goes beyond simply searching for keywords. It uses powerful algorithms to analyse that content, determine what a given piece of text is about and assess its relevance. We have use cases of this software in helping multiple industries' clients pre-dominantly in Retail and CPG. Sentiment analysis and text segmentation are key project types that we use this software for. Generally, we used to have Python and R text libraries to solve these issues but this software simplifies the process and reduces the requirement of coding.
Pros
- Sentiment analysis for one of the gaming client
- Text segmentation for social media analysis
- Summary creation from multi page documents
Cons
- Image processing and understanding
- Video analytics, there is a huge scope there
- Manual intervention or scope of customization
Likelihood to Recommend
For any analysis related to text, it is quite useful. For any image and video-related unstructured, there is a huge room for improvement. Sentiment analysis is much widely used across the industries nowadays to understand the depth of any text; there is so much unstructured data available with companies. A lot can be interpreted from them, tools like these are a great way to start analysing that data.
