Question 1

这些数据的来源是什么？

Accepted Answer

我们的数据来源于从数百万家公司收集的招聘信息。我们在公司网站、招聘网站和其他招聘平台上监控这些招聘信息。分析招聘信息提供了一种可靠的方法来了解公司正在使用的技术，包括他们对内部工具的使用。

Question 2

数据更新的频率是多少？

Accepted Answer

我们每天更新我们的数据，以确保您访问到最当前的信息。这个频繁更新的过程保证了我们的见解和情报能够反映行业内的最新发展和趋势。

Question 3

什么是SpaCy？

Accepted Answer

SpaCy is a leading opensource library for Natural Language Processing NLP in Python It provides efficient tools and a simple API for various NLP tasks such as tokenization POS tagging named entity recognition and dependency parsing SpaCy is known for its speed and accuracy making it a popular choice among developers and researchers working with large volumes of text data The library is designed to be userfriendly enabling users to quickly implement complex NLP pipelines with minimal effort

SpaCy falls under the category of NLP and Sentiment Analysis technology offering a wide range of functionalities to analyze and process text data From extracting entities and relationships to performing sentiment analysis on text SpaCy caters to diverse NLP tasks required in industries like ecommerce social media and customer service

Founded in 2015 by Matthew Honnibal and Ines Montani SpaCy aimed to provide a modern and efficient NLP tool to the community With a focus on speed and usability the developers set out to create a library that could handle largescale text processing tasks with ease Since its inception SpaCy has gained widespread adoption in both academia and industry becoming a goto choice for NLP projects

In terms of market share SpaCy has been steadily growing in popularity within the NLP technology landscape With its robust features and continuous updates SpaCy is wellpositioned to maintain and even increase its market share in the future As the demand for NLP solutions continues to rise across various sectors SpaCys versatile capabilities are likely to drive its growth trajectory forward

Question 4

如何获取使用SpaCy的公司最新列表？

Accepted Answer

通过访问 TheirStack.com，您可以获取使用 SpaCy 的公司更新列表。我们的平台提供一个全面的数据库，其中包括使用各种技术和内部工具的公司。

Question 5

SpaCy 有多少客户？

Accepted Answer

截至目前，我们拥有使用SpaCy的5,909家公司数据。

Question 6

谁在使用SpaCy?

Accepted Answer

SpaCy 被各种行业的多样化组织所使用，包括 "Software Development", "IT Services and IT Consulting", "Information Services", "IT Services and IT Consulting", "Software Development", "Pharmaceutical Manufacturing", "Financial Services", "Software Development", "Financial Services", "Software Development"。要查看使用 SpaCy 的所有行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用SpaCy?

Accepted Answer

一些使用SpaCy的公司包括Thomson Reuters, Coexya, Gartner, StratasCorp Technologies, Ad Hoc LLC, Eli Lilly, FactSet, Aiven, UBS, Oodles Technologies，以及更多公司。您可以在TheirStack.com上找到使用SpaCy的5,909家公司完整列表。

Question 8

在哪些国家中，SpaCy 使用最多？

Accepted Answer

根据我们的数据，SpaCy 在 美国 (1,579 companies), 英国 (336 companies), 印度 (307 companies), 法国 (147 companies), 德国 (107 companies), 加拿大 (104 companies), 西班牙 (90 companies), 荷兰 (64 companies), 新加坡 (45 companies), 瑞士 (42 companies) 最受欢迎。然而，它被世界各地的公司使用。

Question 9

如何找到使用SpaCy的公司？

Accepted Answer

您可以通过在 TheirStack.com 上搜索 SpaCy 来找到使用该技术的公司。我们跟踪来自数百万家公司的职位发布，并利用它们来发现他们正在使用哪些技术和内部工具。

Company	Country	Industry	Employees	Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue

公司	国家	行业	员工	收入	技术
Thomson Reuters	加拿大	Software Development	36k	$6.6B	SpaCy
Coexya	法国	IT Services and IT Consulting	861		SpaCy
Gartner	美国	Information Services	24k		SpaCy
StratasCorp Technologies	美国	IT Services and IT Consulting	182
Ad Hoc LLC	美国	Software Development	403
Eli Lilly	美国	Pharmaceutical Manufacturing	41k	$28B	SpaCy
FactSet	美国	Financial Services	15k	$1.8B	SpaCy
Aiven	芬兰	Software Development	448	$10M	SpaCy
UBS	瑞士	Financial Services	118k	$35B	SpaCy
Oodles Technologies	印度	Software Development	578	$3M

使用SpaCy的公司

如何针对SpaCy用户进行定位

SpaCy 替代品和竞争对手

Hugging Face

Transformers

GitHub Copilot

Optic

Thematic

Plasticity

Gensim

CoreNLP

FastText

IBM Watson Assistant

Sinequa

Spark NLP

Stanza

Dragon NaturallySpeaking

Serenade

Apache cTAKES

AdaTest

Dasha

Google Cloud Speech-to-Text

Lucet

HumanFirst

rasa NLU

Microsoft Azure Speech to Text

Nuance Recognizer

Azure Translator

Speechly

MonkeyLearn

AYLIEN

NLP Cloud

IBM Watson Speech-to-Text

Azure Language Understanding

Nuance Nina

Nuance Text to Speech

Google Cloud Natural Language API

Azure QnA Maker

IBM Watson Content Analytics

AlchemyAPI

Telosys

Semantria

Codeium.vim

IBM Watson Knowledge Studio

Oracle InQuira

IBM Watson Tone Analyzer

Celebros Search

NeuronBlocks

Nuance RadWhere

Nuance SpeechMagic

Nuance Transcend

Label Sleuth

Tisane Labs

SpaCy 客户按国家/地区分布

美国

英国

印度

法国

德国

加拿大

西班牙

荷兰

新加坡

瑞士

这些数据的来源是什么？

这些数据的来源是什么？

数据更新的频率是多少？

数据更新的频率是多少？

什么是SpaCy？

什么是SpaCy？

如何获取使用SpaCy的公司最新列表？

如何获取使用SpaCy的公司最新列表？

SpaCy 有多少客户？

SpaCy 有多少客户？

谁在使用SpaCy?

谁在使用SpaCy?

哪些公司使用SpaCy?

哪些公司使用SpaCy?

在哪些国家中，SpaCy 使用最多？

在哪些国家中，SpaCy 使用最多？