Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.
Please read the tutorial at this link: https://ebookbell.com/faq
We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.
For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.
EbookBell Team
4.1
70 reviewsOrganizations in all industries are increasingly finding ways to leverage the information hidden in natural language to solve customer service issues, get insights from product reviews and medical records, and so much more. These insights depend on the ability of machines to understand and generate natural language.
So how can your organization implement natural language processing (NLP) solutions for business problems in a smart, strategic way? With this report, department and data science team leaders walk through four enterprise use cases involving real companies. If you own the implementation of a project involving text analytics and NLP, you'll learn about the workflows, challenges, and key lessons learned that enabled each of these companies to get impactful results.
Author Kinga Parrott, a senior AI strategy leader, discusses the critical importance of setting up the annotation process to transfer subject matter expertise to AI systems in NLP projects. You will learn when to set up the annotation process, how to effectively engage subject matter experts, and common pitfalls to avoid.
Use cases in this report cover the following business needs
