It provides a set of natural language analysis tools written in Java. It can take raw human language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize and interpret dates, times, and numeric quantities, mark up the structure of sentences in terms of phrases or word dependencies, and indicate which noun phrases refer to the same entities.
155
компании
У нас есть данные о 155 компаниях, которые используют CoreNLP. Этот тщательно подобранный список доступен для скачивания и обогащен важными характеристиками компаний, включая отраслевую классификацию, размер организации, географическое расположение, раунды финансирования и показатели доходов, среди прочего.
Компания | Страна | Индустрия | Сотрудники | Доход |
---|---|---|---|---|
eClinical Solutions, LLC | США | It Services And It Consulting | 500 | $24M |
Fathom | США | Hospitals And Health Care | 94 | $20M |
FATHOM | США | Truck Transportation | 51 | $16M |
Leidos | США | It Services And It Consulting | 33K | $14B |
Lilly | США | Pharmaceutical Manufacturing | 41K | $29B |
Paper | Канада | Professional Training And Coaching | 1.8K | $10M |
![]() WorkFusion | США | It Services And It Consulting | 392 | $75M |
QinetiQ | Великобритания | Defense And Space Manufacturing | 5.5K | |
Expleo Group | Франция | It Services And It Consulting | 16K | |
Eli Lilly | США | Pharmaceutical Manufacturing | 41K | $28B |
A*STAR Agency for Science, Technology and Research | Сингапур | Non-Profit Organizations | 6.2K | $10M |
Zensar Technologies | Индия | It Services And It Consulting | 14K | $480M |
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Статистика использования технологий и доля рынка
Вы можете настроить эти данные под свои нужды, отфильтровывая по географии, отрасли, размеру компании, выручке, использованию технологий, должностям и другим параметрам. Вы можете скачать данные в формате Excel или CSV.
Вы можете получать уведомления о этих данных. Вы можете начать с выбора технологии, которая вас интересует, и затем вы будете получать уведомления в ваш почтовый ящик, когда появятся новые компании, использующие эту технологию.
Вы можете экспортировать его данные в файл Excel, который можно импортировать в вашу CRM. Вы также можете экспортировать данные в API.
CoreNLP используется в 13 странах
Существует 20 альтернатив для CoreNLP
Часто задаваемые вопросы
Наши данные поступают из объявлений о вакансиях, собранных от миллионов компаний. Мы отслеживаем эти объявления на сайтах компаний, досках объявлений и других рекрутинговых платформах. Анализ объявлений о вакансиях предоставляет надежный метод для понимания технологий, которые используют компании, включая их использование внутренних инструментов.
Мы обновляем данные ежедневно, чтобы вы могли получать самую актуальную информацию. Этот частый процесс обновления гарантирует, что наши аналитические сведения и данные отражают последние изменения и тенденции в отрасли.
CoreNLP is a widely-used natural language processing (NLP) tool developed by Stanford NLP Group. It offers a suite of text analysis tools that can help users derive meaning from unstructured text data. CoreNLP incorporates various functionalities such as named entity recognition, part-of-speech tagging, sentiment analysis, dependency parsing, and more. With its easy-to-use interface and robust capabilities, CoreNLP has become a go-to solution for researchers, developers, and data scientists working on text-related projects.
NLP, or Natural Language Processing, is a subfield of artificial intelligence that focuses on the interaction between computers and humans using natural language. CoreNLP falls into the category of NLP tools and specifically excels in tasks related to sentiment analysis, where it can detect and interpret emotions, opinions, and attitudes expressed in text. This makes it a valuable tool for companies looking to gauge customer sentiment from reviews, social media interactions, and other text sources to make informed business decisions.
CoreNLP was founded by the Stanford NLP Group and was first released in 2014. The motivation behind its development was to create a comprehensive and efficient NLP tool that could handle a wide range of text processing tasks effectively. Over the years, CoreNLP has undergone several updates and improvements, enhancing its performance and adding new features to better serve its users. Today, CoreNLP continues to be a top choice for NLP projects due to its accuracy, speed, and scalability.
In terms of market share, CoreNLP holds a significant position within the NLP tool category. Its reputation for accuracy and reliability has earned it a loyal user base across different industries, ranging from academia to tech companies. With the increasing demand for NLP solutions in various applications such as chatbots, sentiment analysis, and document summarization, CoreNLP is poised to see continued growth in the future. As businesses focus more on understanding and leveraging text data, CoreNLP is expected to maintain its relevance and expand its market share further in the coming years.
Natural Language Processing (NLP) has become a crucial tool for companies looking to extract valuable insights from textual data. CoreNLP, a popular NLP library developed by Stanford, offers a wide range of benefits that make it a preferred choice for many organizations.
CoreNLP provides robust text processing capabilities, including tokenization, part-of-speech tagging, named entity recognition, and more. Compared to other similar technologies, CoreNLP stands out for its accuracy, efficiency, and support for multiple languages, making it a versatile solution for diverse text analysis tasks.
One of the key advantages of using CoreNLP is its seamless integration with other tools and frameworks. This interoperability allows companies to combine CoreNLP with existing systems, such as data pipelines or analytics platforms, enabling them to leverage NLP capabilities without major disruptions to their current workflow.
CoreNLP offers sophisticated sentiment analysis capabilities, allowing companies to accurately identify and analyze sentiment in textual data. Its advanced algorithms outperform many traditional sentiment analysis tools, providing more nuanced insights into customer feedback, social media posts, and other text-based sources.
There are several well-known companies that leverage CoreNLP for Natural Language Processing (NLP) and sentiment analysis tasks. Some of these companies include LinkedIn, Uber, and Yelp. Below are case studies highlighting how these companies have successfully implemented CoreNLP in their operations:
LinkedIn: LinkedIn, the professional networking platform, utilizes CoreNLP for enhancing its member experience through advanced text analysis. By leveraging CoreNLP's capabilities, LinkedIn can extract meaningful insights from large volumes of member interactions, such as comments, messages, and posts. The company started using CoreNLP in 2017 to improve the accuracy and efficiency of its content recommendation algorithms, providing users with more relevant and personalized content suggestions.
Uber: Uber, the leading ride-hailing company, relies on CoreNLP for sentiment analysis to understand customer feedback and enhance its service quality. By analyzing customer reviews, social media comments, and support tickets using CoreNLP, Uber gains valuable insights into customer satisfaction levels and identifies areas for improvement. This enables Uber to proactively address customer concerns and deliver a more seamless ride-sharing experience. The implementation of CoreNLP at Uber began in 2018 and has since become an integral part of their customer feedback analysis workflow.
Yelp: Yelp, the popular platform for crowd-sourced reviews and recommendations, harnesses the power of CoreNLP for sentiment analysis of user-generated content. By applying CoreNLP's sentiment analysis algorithms to review texts, Yelp can classify reviews as positive, negative, or neutral, providing users with more accurate ratings and recommendations. Yelp initiated its usage of CoreNLP in 2016 to automate the sentiment analysis process and scale its review processing capabilities, particularly as the volume of user-generated content on the platform continued to grow.
These case studies exemplify how companies like LinkedIn, Uber, and Yelp leverage CoreNLP for NLP and sentiment analysis applications, showcasing the versatile capabilities of the technology in enhancing user experiences, improving service quality, and gaining valuable insights from textual data.
Вы можете получить доступ к обновленному списку компаний, использующих CoreNLP, на сайте TheirStack.com. Наша платформа предоставляет исчерпывающую базу данных компаний, использующих различные технологии и внутренние инструменты.
На данный момент у нас есть данные о 155 компаниях, которые используют CoreNLP.
CoreNLP используется широким кругом организаций в различных отраслях, включая "It Services And It Consulting", "Hospitals And Health Care", "Truck Transportation", "It Services And It Consulting", "Pharmaceutical Manufacturing", "Professional Training And Coaching", "It Services And It Consulting", "Defense And Space Manufacturing", "It Services And It Consulting", "Pharmaceutical Manufacturing". Для получения полного списка всех отраслей, использующих CoreNLP, пожалуйста, посетите TheirStack.com.
Некоторые компании, которые используют CoreNLP, включают eClinical Solutions, LLC, Fathom, FATHOM, Leidos, Lilly, Paper, WorkFusion, QinetiQ, Expleo Group, Eli Lilly и многие другие. Полный список из 155 компаний, использующих CoreNLP, вы можете найти на TheirStack.com.
Согласно нашим данным, CoreNLP наиболее популярен в США (66 companies), Индия (13 companies), Германия (5 companies), Франция (4 companies), Великобритания (4 companies), Австралия (2 companies), Канада (2 companies), Ирландия (2 companies), Нидерланды (2 companies), Сингапур (2 companies). Однако он используется компаниями по всему миру.
Вы можете найти компании, использующие CoreNLP, путем поиска на TheirStack.com. Мы отслеживаем вакансии миллионов компаний и используем их, чтобы узнать, какие технологии и внутренние инструменты они используют.