10 of the most popular NLP use cases

Natural Language Processing (NLP) bridges the communication gap between humans and machines by interpreting natural language. This article discusses 11 powerful applications of NLP, including automated translation to accurately convey meaning, sentiment analysis for understanding customer intent, and virtual chatbots for better customer interactions.

Natural Language Processing (NLP) is at the heart of today’s most powerful and intuitive AI tools. It works by interpreting natural human language, breaking queries into words and deriving context from the relationship between them, then processing the data to extract the meaning or intent. Its use cases are varied and powerful.?

?Here are 10 of the most popular ways NLP can be put to use:?

1. Automated translation?

Effective translation is about more than just replacing words. It needs to accurately capture the meaning and tone of the input language to translate it into another language with the same meaning and impact.?

Automated translation services such as?Google Translate?or?DeepL leverage the power of NLP to understand and produce an accurate translation of global languages in text or voice formats.??

At Inbenta, we apply the power of NLP to automated translation in our multilingual chatbots to ensure our users get the answers they’re looking for in their preferred language.?

2. Sentiment analysis?

Sentiment analysis tries to gauge the overall mood of a text or document by analyzing the language used. It can be applied to social media posts, customer responses, product reviews and more, identifying the feeling, opinion, or belief of a statement and providing data on customers’ choices and their decision drivers.?

3. Virtual agents and chatbots?

Thanks to NLP technology, chatbots have become more human-like.?Conversational AI solutions?like?AI-powered intelligent chatbots?use Natural Language Processing to?understand the meaning behind users’ queries?and answer them in an accurate way.?

Chatbots have numerous applications in different industries as they facilitate conversations with customers and automate various rule-based tasks, such as answering FAQs or?booking flights. They are cost-effective, and available 24/7, every day of the year.??

4. Retail & e-commerce??

Retailers can use NLP to analyze customer data and transform it into actionable insights to make more informed decisions across their processes, from product design and inventory management to sales and marketing.?

Chatbots in e-commerce?use NLP to understand shoppers’ queries and answer them accurately. They can even facilitate transactions, letting users find products, suggesting related products, promoting offers, and even finalizing sales — all within the chatbot.?

5. Market intelligence?

Marketers can extract data from various sources, such as reviews, comments, social media posts, and more and combine it with NLP capabilities to analyze consumer sentiments, detect market trends and optimize their marketing strategies.?

6. Semantic search?

NLP-powered semantic search engines?allow online retail stores and e-commerce websites to understand shoppers’ intent, even when they use long-tail searches, to suggest appropriate responses and increase the visibility of their products.?Semantic search?helps e-commerce sites increase conversion and decrease cart abandonment.?

7. Banking and finance??

Banking and financial institutions can use NLP to analyze market data and use that insight to reduce risks and make better decisions. NLP can also help these institutions identify illegal activities like money laundering and other fraudulent behavior.?

8. Insurance??

Insurance companies?can use NLP to analyze customer communications to identify indicators of fraud and flag these claims for deeper analysis.??

9. Healthcare??

NLP can analyze patient communication from emails, chat applications, and patient helplines and can help?medical professionals?prioritize patients based on their needs to improve patient diagnosis and treatment.?

Healthcare chatbots?use NLP to understand patient queries and can help them schedule appointments, locate healthcare services, assess symptoms, set vaccination reminders, and more.?

10. HR??

NLP is also vastly used by?HR departments? to automate various tasks, such as evaluating resumes by extracting relevant keywords (education, skills, previous roles) and classifying candidates based on how their profile matches a given position. It can also summarize the resumes of candidates who match specific roles to help recruiters skim through resumes faster.?

Chatbots for recruitment ?are used to automate communication between recruiters and candidates. They usually use NLP’s capabilities to schedule interviews, answer candidates’ questions about the position or recruitment process, even facilitate onboarding.?

Elevate your customer service with cutting-edge digital self-service solutions. Contact our team to get started and unlock the full potential of AI automation.?Schedule a demo.?

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