Present times understand Natural Language Processing (NLP) to be ever-evolving. With a rich palette of applications to serve, NLP is focused on accelerating businesses in new ways. Let’s take a look at what all ways does the NLP resort to –
Smart Product Recommendations:
NLP provides just the apt product recommendations by deciphering rightly the combinations of the various crucial factors (context, previous search data, etc.) that stimulate impulse purchases. The E-Commerce industry majorly utilizes such an aspect of NLP to facilitate customer purchases and reduce abandonment.
Customer Service Automation:
With NLP, not only are bots empowered to help customers navigate through knowledge datasets but can also help process individual support tickets. There are bots in the market that harnesses NLP and AI engine to produce answers to incoming inquiries and automatically load case data. Hence, assisting in Customer Service Automation.
Knowledge-based Chatbots:
Just as a human support executive, NLP allows bots to communicate with customers through chats in a wide variety of languages, thereby freeing up the bandwidth of support executives for higher-value tasks. It helps users steer through the current information base, leading them toward the useful article or article series that thoroughly answer their questions.
Social Media Monitoring:
NLP, along with Sentiment Analysis, lets you monitor the response you are getting on your social media surrounding your brand. The union of these two provides businesses the capacity to reduce selection prejudice and withdraw depending on anecdotes, thereby providing a rigid framework for decision-making.
Semantic-based Search:
The semantic-based search revolves around understanding the searchers’ intent within a specific context. It allows for studying the past results and generate links amongst the entities. Further, the search engines could easily apply the contextual meaning of the terms as they show up in the searchable database to produce more suitable outcomes. Moreover, with the help of NLP, it also empowers the users to converse in their native language rather than adopting the system language to register the query/concern.
Predictive Text:
We are well-equipped with and well-aware of the features of autocorrect, autocomplete, and predictive text in our smartphone applications. Even before we come off to finishing the word, we get suggesting a relevant one, and it’s all because of the Natural Language Processing. This feature of NLP works as a support system for almost all our writing/chatting needs making the completion of the tasks easier and hassle-free.
Descriptive Analytics:
NLP-driven tools can fetch the complete customer feedback data and analyze it, providing you an idea of how frequently different pros and cons are mentioned. Moreover, it can get information from reviews while also compiling data through surveys, internal data, and more. This gives company leaders a solid overview of a product’s best qualities and which product features might need more work.
Apart from those mentioned above, there are other ways as well to Natural Language Processing including Email filters, Smart assistants, Language translation, Data analysis, Smart Search, Messenger Bots, Virtual Assistants, Survey Analytics, Automatic Insights, Social Media Listening, and others.
Natural language processing, being a fundamental element of Artificial Intelligence, is all about instilling technical systems with the skill to decipher the written text or spoken words in the same way as humans do. The discussed NLP branches only let us know the bountiful opportunities that NLP has and in what ways the NLP could help improve and accelerate business processes.
Teksun Inc deals in providing the best of Natural Language Processing capabilities across the diverse base of industries. If you’re looking towards keeping a tab on, facilitating, and analyzing the innumerous customers’ interactions coming your way, then connect with our expert professionals, and strive towards enhancing your product/service.
