What Do We Deal In

Natural Language Processing (NLP) is a subfield of AI. It helps machines process and understand the human language so that they can automatically perform repetitive tasks thus saving your time and resources. Some of the commonly used examples include-

• Machine translation
• Summarization
• Ticket classification
• Spell check

The classification task is one of the most popular tasks of NLP, which can be used by your businesses to automatically detect your brand sentiment on social media and various other aspects.  Analyzing these interactions can help your brands detect urgent customer issues that they need to respond to right away, or monitor overall customer satisfaction.

There are several more examples of NLPs

Such as

Sentiment Analysis

The process of detecting positive or negative sentiment in text. This helps businesses to track down sales objectives and meet their goals.

Product Recommendation

Reach out to the masses and recommend best-suited products to increase the probability of sales and generate more business.

Fraud detection

It is very important to secure your business to prevent any loss or potential threat to your digital presence, fraud detection plays a vital role there.

Text To Speech

One of the most common forms of NLP used globally, it reduces your time, increases your efficiency, and provides a wider spectrum to surf.

Machine Translation

Helps your business reach globally to connect with the people who can’t speak your mode of language or even English, makes it easy to understand, and thus creates several opportunities.

Chatbot

A chat box enables you to answer some quick questions and FAQs a visitor can have without the involvement of a human assistant, saving cost and time.