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Gensim？

Accepted Answer

Gensim is a popular opensource Python library designed for unsupervised topic modeling and natural language processing tasks It provides an easytouse interface for various statistical semantics document similarity analysis text summarization and more Gensim stands out for its efficiency in handling large text datasets and its scalability in processing and analyzing textual data

Gensim falls under the category of NLP Natural Language Processing and sentiment analysis tools NLP involves the interaction between computers and human language enabling machines to understand interpret and generate human language Sentiment analysis on the other hand focuses on identifying and categorizing opinions expressed in text data to determine the sentiment conveyed such as positive negative or neutral

Founded in 2009 by Radim ehek Gensim stemmed from the motivation to provide a simple and efficient solution for processing and analyzing textual data for various NLP tasks Over the years Gensim has gained significant traction in the AI community due to its robust capabilities and ease of use

Currently Gensim holds a notable market share within the NLP and sentiment analysis category being widely adopted by researchers data scientists and industry professionals With the increasing demand for advanced NLP applications in various industries like finance healthcare and marketing Gensim is poised to experience further growth in the future Its continuous development and adaptability to evolving NLP trends make it a competitive choice for those seeking powerful text processing tools

Question 4

如何获取使用Gensim的公司最新列表？

Accepted Answer

通过访问 TheirStack.com，您可以获取使用 Gensim 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

Gensim 有多少客户？

Accepted Answer

截至目前，我们拥有使用Gensim的831家公司数据。

Question 6

谁在使用Gensim?

Accepted Answer

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

Question 7

哪些公司使用Gensim?

Accepted Answer

一些使用Gensim的公司包括The Home Depot, Icertis, Praxis Engineering, Quevera, Pendulum, A3 Missions LLC`, RCT Systems, Eli Lilly, Leidos, Roche，以及更多公司。您可以在TheirStack.com上找到使用Gensim的831家公司完整列表。

Question 8

在哪些国家中，Gensim 使用最多？

Accepted Answer

根据我们的数据，Gensim 在 美国 (291 companies), 英国 (47 companies), 印度 (40 companies), 法国 (22 companies), 西班牙 (12 companies), 德国 (11 companies), 加拿大 (11 companies), 荷兰 (8 companies), 瑞士 (7 companies), 新加坡 (6 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Gensim的公司？

Accepted Answer

您可以通过在 TheirStack.com 上搜索 Gensim 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
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使用Gensim的公司

Gensim 客户按国家/地区分布

如何针对Gensim用户进行定位

美国

英国

印度

法国

西班牙

德国

加拿大

荷兰

瑞士

新加坡

Gensim 替代品和竞争对手

Hugging Face

Transformers

GitHub Copilot

Optic

SpaCy

Thematic

Plasticity

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