An overview of domains where text mining and analytics can prove to be a game-changer

This article aims to analyze the application domains of text mining and related analytics.

Let us proceed both horizontally and vertically in the most frequent domains.

Deep diving into immersive content

Creation of immersive and engaging content is the topmost priority of any organization which makes it stand out from the rest. A team of content architects can work wonders for some organizations which have a relatively small target group. For large organizations which deal with a large genre of customers segregated across geographies, a separate strategy is needed. This separate but special strategy is nothing other than text analytics and mining. Be it the enrichment of large quantities of data to turn it into creative content or the extraction of meaningful information from unstructured data, text mining has a unique answer to all of this.

The science of spam filtering

One of the great ways to target customers is by sending them promotional emails. However, the chances of success of this strategy are widely debated. To make the most important mails appear first and keep promotional emails ordered separately is the priority of any good service provider. But, this does not stop the promotional agencies and they choose customized versions to target customers. More often than not, these promotional emails creep into the inbox instead of the spam folder. They may even contain malware and affect the computer system or other devices. This is where text analytics comes into the equation and provides a firewall against such malware.

The domain of social media

customer analytics

The emergence of chatbots

Text mining is very helpful in the domains of natural language processing. This goes a long way in improving the conversation between a chatbot and humans. The reliance on physical operators from call centers is thus decreased to a large extent.

Detection of frauds in the insurance sector

Text mining and analytics works in the insurance sector by comparison of the results of analysed data with the erstwhile structured data. This helps in tackling frauds and processing of claims.

The art of advertisement

text analytics

The theory of business intelligence

Algoscale

Concluding remarks

.

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