Question 1

这些数据的来源是什么?

Accepted Answer

我们的数据来自于从数百万家公司收集的招聘信息。我们在公司网站、招聘平台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，包括他们使用的内部工具。

Question 2

数据多久更新一次?

Accepted Answer

我们每天更新数据，以确保您访问的是最新的可用信息。这一频繁的更新过程保证了我们的洞察力和情报反映了行业内的最新发展和趋势。

Question 3

什么是Thematic?

Accepted Answer

Thematic is a powerful technology that specializes in NLP Natural Language Processing and sentiment analysis making it a crucial tool for companies looking to extract valuable insights from textual data By leveraging advanced algorithms and machine learning techniques Thematic can analyze and interpret large volumes of unstructured text data such as customer feedback reviews and social media comments to identify trends sentiments and patterns that can inform strategic decisionmaking and drive business growth

In the realm of NLP and sentiment analysis Thematic stands out as a versatile and innovative solution that empowers organizations to gain a deeper understanding of customer opinions and preferences By automatically categorizing and analyzing textbased content Thematic enables companies to uncover actionable insights that can enhance customer satisfaction optimize marketing campaigns and improve overall brand perception

Thematic was founded in 2015 by a team of data scientists and technology enthusiasts with a vision to revolutionize the way businesses harness the power of textual data Their motivation stemmed from the growing demand for advanced analytics tools that could extract meaningful insights from the vast amounts of unstructured text generated online Since its inception Thematic has quickly gained traction in the market with a substantial increase in adoption across various industries

Currently Thematic commands a significant market share within the NLP and sentiment analysis category thanks to its robust features intuitive interface and proven track record of delivering actionable insights to its users With the increasing focus on customer experience and datadriven decisionmaking the demand for technologies like Thematic is expected to rise steadily in the coming years positioning the company for continued growth and success in the competitive analytics landscape

Question 4

如何获得使用Thematic的公司的最新列表？

Accepted Answer

您可以访问 TheirStack.com，获取使用 Thematic 的公司更新名单。我们的平台提供了一个全面的数据库，涵盖了使用各种技术和内部工具的公司。

Question 5

Thematic 有多少客户？

Accepted Answer

截至目前，我们拥有关于 1,721 家使用 Thematic 的公司的数据。

Question 6

谁在使用Thematic?

Accepted Answer

Thematic 被广泛应用于包括 "International Affairs", "Pharmaceutical Manufacturing", "Book and Periodical Publishing", "Software Development", "Restaurants", "International Affairs", "Financial Services", "International Affairs", "Non-profit Organizations", "Financial Services" 在内的各个行业的各种组织中。欲了解所有使用 Thematic 的行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用Thematic?

Accepted Answer

一些使用Thematic的公司包括UNDP Careers, Bristol Myers Squibb, Bentham Science, Optiply, Chicken Salad Chick, UNDP in the Arab States region, Citi, United Nations, UNICEF, HSBC以及更多公司。您可以在TheirStack.com上找到使用Thematic的1,721家公司完整列表。

Question 8

哪些国家使用Thematic最多？

Accepted Answer

根据我们的数据，Thematic 在 美国 (292 companies), 英国 (249 companies), 加拿大 (38 companies), 法国 (32 companies), 印度 (31 companies), 荷兰 (28 companies), 瑞士 (26 companies), 德国 (22 companies), 澳大利亚 (20 companies), 新加坡 (18 companies) 最受欢迎。然而，它被全世界的公司所使用。

Question 9

如何找到使用Thematic的公司？

Accepted Answer

您可以在TheirStack.com上搜索Thematic，来找到使用该技术的公司。我们跟踪数百万家公司的招聘信息，并借此发现他们正在使用的技术和内部工具。

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使用 Thematic 的公司

如何针对Thematic用户进行定位

Thematic 替代品和竞争对手

Hugging Face

Transformers

GitHub Copilot

Optic

SpaCy

Plasticity

Gensim

CoreNLP

FastText

IBM Watson Assistant

Sinequa

Spark NLP

Stanza

Dragon NaturallySpeaking

Serenade

Apache cTAKES

AdaTest

Dasha

Lucet

rasa NLU

HumanFirst

Google Cloud Speech-to-Text

Microsoft Azure Speech to Text

Nuance Recognizer

Azure Translator

Speechly

MonkeyLearn

AYLIEN

NLP Cloud

Azure Language Understanding

Nuance Nina

Nuance Text to Speech

Google Cloud Natural Language API

Azure QnA Maker

AlchemyAPI

Telosys

Semantria

Codeium.vim

IBM Watson Knowledge Studio

IBM Watson Speech-to-Text

IBM Watson Content Analytics

Oracle InQuira

IBM Watson Tone Analyzer

Celebros Search

NeuronBlocks

Nuance RadWhere

Nuance SpeechMagic

Nuance Transcend

Label Sleuth

Tisane Labs