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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.
私たちはNLTKを使用している2,010社のデータを持っています。このキュレーションリストはダウンロード可能で、業界分類、組織の規模、地理的位置、資金調達ラウンド、収益数値などの重要な会社の詳細が含まれています。
会社 | 国 | 業界 | 従業員 | 収益 |
---|---|---|---|---|
GreenXT | アメリカ合衆国 | It Services And It Consulting | 110 | $5.3M |
Tredence | アメリカ合衆国 | Business Consulting And Services | 2K | $33M |
Zyte | アイルランド | It Services And It Consulting | 230 | $17M |
Thomson Reuters | カナダ | Software Development | 34K | $6.6B |
Gartner | アメリカ合衆国 | Information Services | 23K | |
FactSet | アメリカ合衆国 | Financial Services | 13K | $1.8B |
General Assembly | アメリカ合衆国 | Higher Education | 3.6K | |
Flexport | アメリカ合衆国 | Transportation, Logistics, Supply Chain And Storage | 3.5K | $3.3B |
The GBS Group | アメリカ合衆国 | It Services And It Consulting | 153 | |
Icertis | アメリカ合衆国 | Software Development | 2.3K | $150M |
Fathom | アメリカ合衆国 | Hospitals And Health Care | 94 | $20M |
Silent Eight | シンガポール | Technology, Information And Internet | 150 | $6.5M |
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技術使用統計と市場シェア
このデータは、地理、業界、企業規模、収益、技術使用状況、求人情報などでフィルタリングすることにより、あなたのニーズに合わせてカスタマイズできます。データはExcelまたはCSV形式でダウンロードできます。
このデータのアラートを受け取ることができます。興味のある技術を選択すると、その技術を使用している新しい企業がある場合に受信ボックスにアラートが届きます。
彼のデータをExcelファイルにエクスポートでき、それはあなたのCRMにインポートできます。また、そのデータをAPIにエクスポートすることもできます。
NLTKは52か国で使用されています
NLTKには76の代替案があります。
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よくある質問
私たちのデータは、何百万もの企業から収集された求人情報に基づいています。私たちはこれらの求人情報を企業のウェブサイト、求職掲示板、およびその他の採用プラットフォームで監視しています。求人情報を分析することで、企業が使用している技術や内部ツールの利用状況を理解するための信頼性の高い方法を提供します。
私たちはデータを毎日更新して、利用可能な最新の情報にアクセスできるようにしています。この頻繁な更新プロセスにより、私たちのインサイトとインテリジェンスが業界内の最新の展開とトレンドを反映していることを保証します。
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.
TheirStack.com を訪問すると、NLTK を使用している企業の最新リストにアクセスできます。当社のプラットフォームは、さまざまな技術や内部ツールを活用している企業の包括的なデータベースを提供します。
現在、2,010 社が NLTK を使用しているデータを保持しています。
NLTK は "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" を含む様々な業界の多様な組織によって使用されています。NLTK を利用しているすべての業界の包括的なリストについては、TheirStack.com をご覧ください。
NLTK を使用している企業の中には、GreenXT, Tredence, Zyte, Thomson Reuters, Gartner, FactSet, General Assembly, Flexport, The GBS Group, Icertis などが含まれています。他にも多くの企業があります。NLTK を使用している 2,010 社の完全なリストは TheirStack.com で見つけることができます。
私たちのデータによれば、NLTK は アメリカ合衆国 (771 companies), インド (140 companies), イギリス (112 companies), フランス (60 companies), カナダ (52 companies), ドイツ (40 companies), スペイン (40 companies), ブラジル (34 companies), オランダ (19 companies), シンガポール (18 companies) で最も人気があります。しかし、世界中の企業で使用されています。
TheirStack.comでNLTKを検索することにより、{technology.name}を使用している企業を見つけることができます。 theirstackは、数百万の企業からの求人情報を追跡し、それらが使用している技術や内部ツールを発見します。