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Applications of NLP
Businesses can utilise NLP tools to analyse data, discover insights, automate time-consuming tasks, and gain a competitive
advantage.
Sentiment Analysis
Natural language processing (NLP) may analyse consumer comments, social media postings, product reviews, and
other text data to assess positive, negative, or neutral sentiment towards a brand, product, or service. This data helps
businesses understand their customers' impressions and sentiments.
Negative Neutral Positive
Totally dissatisfied with the Good Job but I will expect a Brilliant effort guys!
service. Worst customer lot more in future. Loved Your Work.
care ever.
Sentiment analysis
Generally, 80% of data is unstructured. That data needs to be analysed and used in a structured manner whether it is in
the form of emails, texts, documents, articles, or anything else.
Voice Assistants
The use of voice assistants is growing in popularity. Almost everyone utilises
a virtual assistant (like Siri, Alexa, or Google Assistant) for various tasks like
making calls, setting alarms, scheduling meetings, making notes, and
browsing the internet. How do they function? To comprehend and react to
human speech, they employ a complex fusion of speech recognition, natural
language processing, and natural language interpretation. The ultimate goal
of voice assistants is to operate as an interface between people and the
internet, offering a range of services using basic speech recognition.
Email Filtering
We all use email on a regular basis. We get bombarded with communications
concerning our studies, careers, and other subjects. We receive emails from
a wide range of sources; some are promotional while others are work-related
or from our ideal organisation. NLP is useful in this situation. It assigns
emails based on whether they are considered “important” or “spam”.
Leveraging Linguistics and Computer Science 383

