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The branch of AI, NLP is regarded as a critical one for navigating through the rising volume of data already in silos and generated daily. Let’s explore further how NLP serves benefit in different domains
Fremont, CA: Natural Language Processing(NLP), an exciting branch of Artificial Intelligence (AI), poses some thrilling opportunities across various industries through analysis of the huge amount of data in order to deliver a better quality of service. This branch of AI regarded as a critical one for navigating through the rising volume of data already in silos and generated daily. Let's explore further how NLP serves benefit in different domains.
The following are some major uses of NLP across a diverse range of industries serving a variety of business purposes.
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NLP in HR and Recruiting
HR professionals use NLP in human resources to speed up candidate searches by filtering out relevant resumes and designing bias-proof and gender-neutral job descriptions. The use of semantic analysis enables the HR to make sifts through the considerable synonyms, thus detect candidates that meet the job requirements.
NLP in Advertising
NLP enables advertisers to identify new audiences through the analysis of digital footprint over social media, emails, search keywords, and browsing behavior. A simple keyword matching routine companies, too, can widen the array of channels for ad placement, help companies use their ad budgets more effectively, and target potential clients.
NLP in Neural Machine Translation
Neural machine translation has enhanced the simulation of professional translations over the years of its advancement. Natural language processing help educate neural machine networks when applied in neural machine translation. This can help businesses to translate low impact content, including emails, regulatory texts, etc. Such machine translation tools pace up communication with partners while encouraging other business interactions.
NLP in Sentiment Analysis
Sentiment analysis enables the company to estimate customer feedback on the brand and product while adjusting sales and marketing strategy. It is also capable of analyzing news and blogs conveying value to the text (negative, positive, or neutral) over social media platforms, hence also named as opinion mining. NLP algorithms can now identify emotions such as happy, annoyed, angry, and sad.
NLP in Healthcare
A study says NLP can improve clinical documentation, data mining research, computer-assisted coding, automated registry reporting, etc. In the context of such emerging cases, it also helps in clinical trial matching, clinical decision support, risk adjustment, and hierarchical condition categories. In addition, for next-generation developments, NLP enables ambient virtual scribe, computational phenotyping, and biomarker discovery and population surveillance.
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