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It is a suite of libraries and programs for symbolic and statistical natural language processing for English written in the Python programming language.
我们掌握了关于使用NLTK的2,010家公司数据。这个精心策划的名单可以下载,并附带了重要的公司具体信息,包括行业分类、组织规模、地理位置、融资轮次和收入数据等。
公司 | 国家 | 行业 | 雇员 | 收入 |
---|---|---|---|---|
GreenXT | 美国 | It Services And It Consulting | 110 | $5.3M |
Tredence | 美国 | Business Consulting And Services | 2K | $33M |
Zyte | 爱尔兰 | It Services And It Consulting | 230 | $17M |
Thomson Reuters | 加拿大 | Software Development | 34K | $6.6B |
Gartner | 美国 | Information Services | 23K | |
FactSet | 美国 | Financial Services | 13K | $1.8B |
General Assembly | 美国 | Higher Education | 3.6K | |
Flexport | 美国 | Transportation, Logistics, Supply Chain And Storage | 3.5K | $3.3B |
The GBS Group | 美国 | It Services And It Consulting | 153 | |
Icertis | 美国 | Software Development | 2.3K | $150M |
Fathom | 美国 | Hospitals And Health Care | 94 | $20M |
Silent Eight | 新加坡 | Technology, Information And Internet | 150 | $6.5M |
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技术使用统计数据和市场份额
您可以通过筛选地理位置、行业、公司规模、收入、技术使用情况、职位等来根据您的需求定制这些数据。您可以以Excel或CSV格式下载数据。
您可以获得有关此数据的提醒。您可以通过选择您感兴趣的技术来开始,然后当有新公司使用该技术时,您将会在您的收件箱中收到提醒。
您可以将这些数据导出到一个Excel文件,然后导入到您的CRM中。您也可以将这些数据导出到API。
NLTK 被用于 52 个国家
有 76 个 NLTK 替代品
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常见问题
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。
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。
Natural Language Toolkit (NLTK) is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to over 50 lexical and syntactic corpus readers, making it a powerful tool for natural language processing (NLP) tasks. NLTK offers functionalities for tokenization, parsing, classification, stemming, tagging, and semantic reasoning, catering to diverse NLP requirements.
NLTK falls under the category of Machine Learning Tools, specifically tailored for text and language processing applications. It enables developers and data scientists to apply machine learning algorithms to textual data, facilitating tasks such as sentiment analysis, named entity recognition, text summarization, and more. NLTK plays a crucial role in extracting insights from unstructured text data, which is essential across various industries like healthcare, finance, and marketing.
Founded in the early 2000s by Steven Bird and Edward Loper at the University of Pennsylvania, NLTK emerged as an open-source project aimed at promoting research and development in computational linguistics and NLP. The motivation behind NLTK's creation was to democratize access to tools and resources for analyzing human language, fostering advancements in language technology and research.
As of the latest data, NLTK continues to maintain a significant market share within the Machine Learning Tools category due to its robust features, extensive documentation, and active community support. With the increasing demand for NLP solutions in business applications and academia, NLTK is poised to experience further growth in the foreseeable future, solidifying its position as a cornerstone technology in the field of natural language processing.
Natural Language Toolkit (NLTK) is a powerful tool that companies leverage to enhance their natural language processing capabilities. NLTK offers a wide range of benefits that make it a preferred choice for organizations looking to extract insights from textual data efficiently and accurately.
Improved Text Parsing: NLTK provides robust algorithms and tools for text parsing, making it easier to analyze and extract meaningful information from unstructured text data. Its extensive set of pre-built libraries and modules enable faster and more accurate processing than other similar technologies.
Enhanced Sentiment Analysis: NLTK excels in sentiment analysis by offering advanced techniques to determine the sentiment polarity of text. Its comprehensive lexicons and sentiment analysis tools surpass other technologies in accurately identifying and categorizing sentiment in large datasets.
Effective Language Model Training: NLTK's capabilities in training language models are unparalleled, allowing companies to develop customized models for various natural language processing tasks. Its flexibility and ease of use in model training set it apart from other tools, making it a top choice for companies seeking tailored solutions.
Seamless Integration with Other Tools: NLTK seamlessly integrates with a variety of other machine learning and natural language processing tools, enhancing its versatility and usability in diverse data processing environments. Its compatibility with different systems and technologies provides companies with a cohesive and efficient workflow for text analysis tasks.
In summary, NLTK offers unparalleled text processing capabilities, advanced sentiment analysis features, robust language model training options, and seamless integration possibilities, making it a valuable asset for companies seeking to leverage natural language processing technologies effectively.
Introduction:
Several prominent companies leverage NLTK (Natural Language Toolkit) as a foundational component in their tech stack to enhance various aspects of their operations. NLTK is widely recognized as a powerful platform for building Python programs to work with human language data. Some well-known companies that utilize NLTK include Yelp, Accenture, and Bloomberg.
Case Studies:
Yelp: Yelp, a leading online platform for crowd-sourced reviews and recommendations, utilizes NLTK primarily for sentiment analysis of user reviews. By implementing NLTK, Yelp can categorize reviews as positive, negative, or neutral based on the language used, providing valuable insights to businesses and users alike. Yelp started integrating NLTK into its system back in 2015, allowing them to continuously improve their review analysis algorithms.
Accenture: Accenture, a global professional services company, employs NLTK for text mining and analysis across a wide range of client projects. NLTK assists Accenture in extracting valuable information from unstructured textual data, enabling them to derive actionable insights for their clients. Accenture began incorporating NLTK into their solutions in 2013 and has since enhanced the efficiency and accuracy of their text analytics processes.
Bloomberg: Bloomberg, a renowned financial and media company, harnesses the power of NLTK for sentiment analysis in the realm of financial news and market trends. By utilizing NLTK, Bloomberg can gauge the sentiment of news articles and social media posts related to finance, helping investors make informed decisions. Bloomberg adopted NLTK as part of its analytical toolkit in 2014, revolutionizing the way they interpret and respond to textual data sources.
These case studies exemplify how well-established companies such as Yelp, Accenture, and Bloomberg leverage NLTK for diverse applications, ranging from sentiment analysis to text mining. Through the strategic integration of NLTK into their tech stack, these companies have been able to extract valuable insights from vast amounts of unstructured text data, driving informed decision-making and enhancing user experiences.
您可以访问 TheirStack.com,获取使用 NLTK 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。
截至目前,我们拥有关于 2,010 家使用 NLTK 的公司的数据。
NLTK 被广泛应用于包括 "It Services And It Consulting", "Business Consulting And Services", "It Services And It Consulting", "Software Development", "Information Services", "Financial Services", "Higher Education", "Transportation, Logistics, Supply Chain And Storage", "It Services And It Consulting", "Software Development" 在内的各个行业的各种组织中。欲了解所有使用 NLTK 的行业的完整列表,请访问 TheirStack.com。
一些使用NLTK的公司包括GreenXT, Tredence, Zyte, Thomson Reuters, Gartner, FactSet, General Assembly, Flexport, The GBS Group, Icertis以及更多公司。您可以在TheirStack.com上找到使用NLTK的2,010家公司完整列表。
根据我们的数据,NLTK 在 美国 (771 companies), 印度 (140 companies), 英国 (112 companies), 法国 (60 companies), 加拿大 (52 companies), 德国 (40 companies), 西班牙 (40 companies), 巴西 (34 companies), 荷兰 (19 companies), 新加坡 (18 companies) 最受欢迎。然而,它被全世界的公司所使用。
您可以在TheirStack.com上搜索NLTK,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。