Examples of using text analysis and mining software
The use of text analysis tools can be found in the following cases:Fast interpretation of large documents
These tools are commonly used to interpret unstructured data from documents such as emails , chats, social feeds, messages, and reviews . While manual analysis can take months to sift through first dataset a large volume of documents, text analytics software can do it in an hour. Customer comments and reviews can appear anywhere on the internet. Text analytics software can monitor reviews 24/7 and take necessary action on negative reviews and messages.
Understanding Employee Feedback
Companies also use text analytics tools to improve organizational strategy by checking employee feedback and understanding their dissatisfaction. Check out the list of the best text analytics tools .
Amazon Comprehend
Amazon Comprehend is a text analytics tool that enables you to extract valuable information from documents by mining and analyzing them. It uses machine learning technology to identify valuable information and relationships in text. Some of the key attributes of this platform include language detection, keyword extraction , sentiment analysis, topic modeling, and syntax analysis. You can use it to analyze documents, product reviews, support tickets, emails, and social platforms. Using this platform will simplify your document processing workflows. It strictly regulates access to your documents through personally identifiable information. Getting started with this tool is very simple - even without experience, you can start using it in a few minutes. Organizations using various AWS services can easily integrate this tool into their workflow .
页:
[1]