Full text indexing using Hbase
Text messages (e-mail, chat, and so on) have become the most widespread method of communication, so there is much value to be extracted by making all text searchable and readily available for further analysis. This common scenario is applicable to different use cases where you have large volumes (ongoing) of content updates that need to be pushed into live search indexes and content should be instantly (near real-time) searchable.
Some common use cases that involve text analysis are customer satisfaction, customer sentiment analysis of the people texting, interest of the customer on which targeted advertising can be done, and others.
Every company or business domain can extract tremendous value based on its own business needs if they can understand the text communication in various forms.
Thus, it becomes important to collect, share, search, and do deep mining on the datasets that all of us are transacting everyday.
These texts can be of a very structured format...
