case study of used NLP Technology
In today’s fiercely competitive world, businesses must dig deeper and develop a greater understanding of customer preferences and market trends by applying innovative options like AI and machine learning.
As tongue processing technology continues to evolve into a strong, user-oriented tool, businesses find that NLP technology can guide their marketing and overall business strategies toward successful outcomes.
NLP improves business intelligence in numerous ways but text analysis is its primary benefit. Raw textual data is usually unstructured and is therefore unused by the very businesses that collect it. Until recently, it had been nearly impossible to research unstructured textual data at scale. Today, NLP Technology can add up of data by detecting patterns across scattered text then structuring patterns during a way that creates the info analytically viable.
NLP in Healthcare
The success of the healthcare industry depends on accurate diagnosis, objective decision-making, the appliance of latest and evolving knowledge and therefore the use of predictive models to guide support services and medical personnel. When integrated with health IT systems, data processing helps to scale back subjectivity and improve diagnosis and treatment while improving predictive models. Once set in motion, data integrated healthcare IT systems are capable of improving responses to medical emergencies on both the individual and global scale.
Data integrated healthcare systems assisted a Canadian health monitoring platform in recognizing the magnitude of the COVID-19 crisis weeks before national and international agencies informed the general public. Using an AI-driven algorithm, the platform mined textual data using NLP. The technology was designed to scour foreign journals and newspapers, plant and disease networks, and government statements.
On New Year’s Eve , 2019 the Canadian platform BlueDot notified its users of an emerging threat in Wuhan. Almost ten days later, on January 9th the planet Health Organization officially notified the planet of the flu-like outbreak and therefore the cluster of pneumonia cases present in Wuhan. The US Centers for Disease Control and Prevention released its concerns on Epiphany. Users of the NLP-powered platform were given an early warning that allowed them to avoid danger zones like Wuhan.
NLP for hiring and recruitment
Human resource offices are more efficient once they employ NLP processes to sift through databases and resumes. Hiring teams define the terms and scope of semantic analysis and NLP software searches relevant synonyms and requirements. This frees up staff time and turns up relevant resumes and suitable candidates during a non-biased fashion. On the recruitment side, NLP-based software helps recruitment teams craft gender-neutral and bias-proof job descriptions which may further diversify the candidate pool.
NLP for advertising
Advertisers seek new ways to research the huge digital footprints customers and potential customers leave behind on social media, emails, engine searches and daily browsing behavior. NLP software is an insightful tool that matches simple keywords across a broad range of channels, honing in on ad placement optimization. Using NLP Technology, advertising departments can spend their budgets efficiently, target relevant leads and build a high ROI. NLP’s ability to sense ambiguity and context within textual messaging and word-usage is consistently improving and bringing added value to advertising strategists.
NLP for market intelligence
Advertisers may specialise in individual behaviors but they also require robust data analysis that assists during a greater understanding of overall market changes and developments. However, monitoring a huge amount of textual data within the sort of blogs, websites and social media posts are often overwhelming. NLP-based software uses a strong algorithm that’s capable of scouring social media content, customer reviews and comments. The data is converted into meaningful insights regarding changes in market and overall customer attitudes.
One of the promising areas of NLP is its application for data processing and sentiment analysis for demand forecasting for the retail industry.
With an outsized enough sample size of customer feedback, we will use NLP Technology modeling to note changes in customer purchasing decision-making and identify goods quickly being bought out of stock.
Conversational AI is one among the rising trends now. Voice-enabled devices, like the Amazon Echo and Google Home, are common in homes. there have been 3.25 billion voice assistant devices round the world in 2019. tongue processing is an important element of those devices. Voice-enabled AI is powered by a computer’s ability to know voice-to-text transcriptions. A greater capacity for textual understanding results in greater accuracy within the response to voice-enabled commands. Alexa skills development may be a growing tech trend that reveals various business use cases from personal applications to enterprise smart mirror solutions.
Customer Service and Support
Customer service automation is most recognizable within the sort of chatbots that are successfully employed by e-commerce sites for several years. NLP-powered chatbots release human customer service agents for more complex tasks while automated chatbots answer routine customer questions. Over the years, e-commerce and other websites have seen an increase in conversions thanks to the convenience with which customers receive answers to basic questions. NLP-driven algorithms also direct customers to other resources which further assists in lead generation and capture.
As seen within the examples above, NLP Technology can enhance customer service, accelerate product time to plug and increase revenues. Whether your business is seeking improved hiring and recruiting processes, deeper customer risk-assessment and behavior predictions, improved market intelligence or optimized ad campaign, NLP Technology is meant to assist your business achieve its goals.
source : Datafloq