Spark NLP is a Natural Language Processing (NLP) library built on top of Apache Spark ML. It provides simple, performant & accurate NLP annotations for machine learning pipelines that can scale easily in a distributed environment. Spark NLP comes with 1100+ pretrained pipelines and models in more than 192+ languages. It supports nearly all the NLP tasks and modules that can be used seamlessly in a cluster. Downloaded more than 2.7 million times and experiencing 9x growth since January 2020, Spark NLP is used by 54% of healthcare organizations as the world’s most widely used NLP library in the enterprise.Computer Systems, Imagery and Medi
Natural Language Processing (NLP) is a 'theoretically motivated range of computational techniques fo...
In the present state of digital world, computer machine do not understand the human’s ordinary langu...
Beginning with the basic issues of NLP, this chapter aims to chart the major research activities in ...
Apache Spark is a popular open-source platform for large-scale data processing that is well-suited f...
textNatural language pipelines consist of various natural language algorithms that use the annotatio...
<p>After that, we started text preprocessing and feature extraction before building prediction model...
Natural Language Processing (NLP) is a field of artificial intelligence and computer science that de...
Apache Spark is amazing when everything clicks. But if you haven’t seen the performance improvements...
This paper is focused on Natural Language Processing (NLP) and speech area, describes the most promi...
Following the global COVID-19 pandemic, the number of scientific papers studying the virus has grown...
The field of natural language processing (aka NLP) is an intersection of the study of linguistics, c...
The Center for Natural Language Processing (CNLP) was founded in September 1999 in the School of Inf...
In the era of Big Data, machine learning has taken on a whole new role. With the amount of data pres...
Natural Language Processing NLP, or Natural Language Processing, is an area of artificial intelligen...
Processing big data in real-time is challenging due to scalability, information consistency, and fau...
Natural Language Processing (NLP) is a 'theoretically motivated range of computational techniques fo...
In the present state of digital world, computer machine do not understand the human’s ordinary langu...
Beginning with the basic issues of NLP, this chapter aims to chart the major research activities in ...
Apache Spark is a popular open-source platform for large-scale data processing that is well-suited f...
textNatural language pipelines consist of various natural language algorithms that use the annotatio...
<p>After that, we started text preprocessing and feature extraction before building prediction model...
Natural Language Processing (NLP) is a field of artificial intelligence and computer science that de...
Apache Spark is amazing when everything clicks. But if you haven’t seen the performance improvements...
This paper is focused on Natural Language Processing (NLP) and speech area, describes the most promi...
Following the global COVID-19 pandemic, the number of scientific papers studying the virus has grown...
The field of natural language processing (aka NLP) is an intersection of the study of linguistics, c...
The Center for Natural Language Processing (CNLP) was founded in September 1999 in the School of Inf...
In the era of Big Data, machine learning has taken on a whole new role. With the amount of data pres...
Natural Language Processing NLP, or Natural Language Processing, is an area of artificial intelligen...
Processing big data in real-time is challenging due to scalability, information consistency, and fau...
Natural Language Processing (NLP) is a 'theoretically motivated range of computational techniques fo...
In the present state of digital world, computer machine do not understand the human’s ordinary langu...
Beginning with the basic issues of NLP, this chapter aims to chart the major research activities in ...