Why chatbot needs Natural Language Processing?

Let’s check out the 5 reasons why chatbot should have NLP in it:

1. Natural Conversations across Languages

The problem with the approach of pre-fed static content is that languages have an infinite number of variations in expressing a specific statement. There are uncountable ways a user can produce a statement to express an emotion.

NLP can differentiate between the different types of requests generated by a human being and thereby enhance customer experience substantially.

(a) NLP based chatbots are smart to understand the language semantics, text structures,and speech phrases. Therefore, it empowers to analyze a vast amount of unstructured data and make sense.

(b) NLP is capable of understanding the morphemes across languages which makes a bot more capable of understanding different nuances.

(c ) NLP gives chatbots the ability to understand and interpret slangs and learn abbreviation continuously like a human being while also understanding various emotions through sentiment analysis.

2. Mission Critical Tasks

NLP based chatbots reduce the human efforts in operations like customer service or invoice processing dramatically so that these operations require fewer resources with increased employee efficiency.

Employees can focus on mission-critical tasks and tasks that impact the business positively in a far more creative manner as opposed to losing time on tedious repetitive tasks every day.

3. Cost Reduction

NLP based chatbots can significantly assist in cutting down costs associated with manpower and other resources entangled in repetitive tasks as well as costs on customer retention while improving efficiency and streamlining workflows.

4. Customer Satisfaction

NLP helps chatbots understand, analyze and prioritize the questions according to the complexity & this enables bots to respond to customer queries faster than a human being. It reduces the effort and cost of acquiring a new customer each time by increasing loyalty of the existing ones.

5. Market Research and Analysis

NLP helps in structuring the unstructured social media content and draw meaning from it. You can easily understand the meaning or idea behind the customer reviews, inputs, comments or queries. You can get a glimpse at how the user is feeling about your services or your brand.

Conclusion

Although NLP, NLU, and NLG aren’t exactly at par with human language comprehension, given its subtleties and contextual reliance; an intelligent chatbot can imitate that level of understanding and analysis fairly well. Within semi-restricted contexts, a bot can execute quite well when it comes to assessing the user’s objective & accomplish the required tasks in the form of a self-service interaction.