|Application fee:||15.5 USD|
|Certification Body:||Aegis School of Data Science|
|Location:||Online Live interactive|
|Course fee:||387.5 USD|
|Total course fee:||457.25 USD|
Give a rating
Natural language processing (NLP) is a field of computer science, artificial intelligence, and linguistics concerned with the interactions between computers and human (natural) languages. As such, NLP is related to the area of human–computer interaction. Many challenges in NLP involve natural language understanding, that is, enabling computers to derive meaning from human or natural language input, and others involve natural language generation.
Significant growth in the volume and variety of data is due to the accumulation of unstructured text data—in fact, up to 80% of all your data is unstructured text data. Companies collect massive amounts of documents, emails, social media, and other text-based information to get to know their customers better, offer customized services, or comply with federal regulations. However, most of this data is unused and untouched.
Text analytics, through the use of natural language processing (NLP), holds the key to unlocking the business value within these vast data assets. In the era of big data, the right platform enables businesses to fully utilize their data lake and take advantage of the latest parallel text analytics and NLP algorithms. In such an environment, text analytics facilitates the integration of unstructured text data with structured data (e.g., customer transaction records) to derive deeper and more complete depictions of business operations and customers.