NLP has developed into the natural intersection of AI, machine learning, and linguistics. It is often called computational linguistics and allows for the connection of language with machine perceptions. At the Nestack offshore development center, NLP experts utilize the method to develop effective support chatbots, analyze customer reviews, and work to improve user satisfaction. This is why you’ll always get the best when you pick Nestack as your outsource partner.
Nestack has a wealth of experience with natural language understanding and a deep knowledge of how to connect language with machine perceptions. The AI engineers at Nestack have built a system that analyzes customer reviews on Twitter to automatically identify whether each review is positive, negative, or neutral.
The Nestack outsource team have also created a complex machine learning algorithm to study the medical history of patients and predict which treatments they might require. Nestack offers full-cycle services on the NLP platform in a manner which fully reflects their advanced expertise and competencies with machine learning.
Custom Product & Application Development in NLP
Nestack offer a full range of customized NLP application and product development services to suit the unique functional and business needs of each customer. The Nestack team of NLP developers has a huge body of expertise in creating high-performing, process-oriented applications and software products to work on desktop, web, cloud, and mobile platforms. These ensure mature SLAs and help to carefully balance cost, quality, and security standards.
NLP Application Enhancement & Upgrade
The Nestack offshore development center can also offer enhancement and upgrade services for already existing NLP applications. This can help to scale current NLP applications up for newer NLP and AI frameworks and platforms and reduces the overall time and cost of the upgrade process.
NLP Application Maintenance & Support
When you outsource IT services to Nestack you get quality assurance and strong testing services for NLP applications. This includes detailed pre- to post-release functionality, performance, and load verification and analysis which always makes use of best practices, tools, and testing solutions.
OS: Windows, Linux, macOS
Stanford CoreNLP is natural language processing software based on Java which identifies the base forms of words and parts of speech to discover whether they are names of people, companies, or other entities. It also normalizes dates and times and marks up sentence structures in terms of syntactic dependencies and phrases. This helps to indicate which noun phrases refer to identical identifiers which identify feeling, and extract particular and open-class relationships between entities mentioned. Standard CoreNLP supports English, Arabic, Chinese, Spanish, French, and German.
NLTK is referred as Natural Language Toolkit. It is python library which supports complex Natural Language Processing features. It is widely used in most of the commercial NLP applications. It also implements machine learning algorithm for enhancing textual features like Named Entity Recognition and POS Tagger.
Spacy is a modern era’s python based library. It is developed on top of NLTK. It includes efficient machine learning models than NLTK and gaining more market value than NLTK. It supports more complex contextual features.
OS: Windows, Linux
Machine Learning libraries like Toolkit, or Mallet, is a set of Java-based tools which can be used for statistical natural language processing, document classification, information extraction, clustering, topic modeling, and more. MALLET was first developed in 2002 by groups at the University of Pennsylvania and the University of Massachusetts Amherst.
OS: Windows, Linux, macOS
OpenNLP is an Apache project which powers the Air New Zealand chatbot, Oscar. It can perform natural language processing tasks like tokenization, sentence segmentation, parsing, language detection, part-of-speech tagging, named entity extraction, chunking, and co-reference resolution.