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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.
2,010
aziende
Abbiamo dati su 2,010 aziende che usano NLTK. La nostra lista di clienti NLTK è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
GreenXT | Stati Uniti | It Services And It Consulting | 110 | $5.3M |
Tredence | Stati Uniti | Business Consulting And Services | 2K | $33M |
Zyte | Irlanda | It Services And It Consulting | 230 | $17M |
![]() Thomson Reuters | Canada | Software Development | 34K | $6.6B |
Gartner | Stati Uniti | Information Services | 23K | |
FactSet | Stati Uniti | Financial Services | 13K | $1.8B |
![]() General Assembly | Stati Uniti | Higher Education | 3.6K | |
Flexport | Stati Uniti | Transportation, Logistics, Supply Chain And Storage | 3.5K | $3.3B |
The GBS Group | Stati Uniti | It Services And It Consulting | 153 | |
![]() Icertis | Stati Uniti | Software Development | 2.3K | $150M |
Fathom | Stati Uniti | Hospitals And Health Care | 94 | $20M |
Silent Eight | Singapore | Technology, Information And Internet | 150 | $6.5M |
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NLTK è utilizzata in 52 paesi
Domande frequenti
I nostri dati provengono da offerte di lavoro raccolte da milioni di aziende. Monitoriamo queste offerte sui siti web delle aziende, sui portali di lavoro e su altre piattaforme di reclutamento. Analizzare le offerte di lavoro offre un metodo affidabile per comprendere le tecnologie impiegate dalle aziende, inclusi i loro strumenti interni.
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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.
Puoi accedere a un elenco aggiornato di aziende che utilizzano NLTK visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 2,010 aziende che utilizzano NLTK.
NLTK è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "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". Per un elenco completo di tutti i settori che utilizzano NLTK, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano NLTK includono GreenXT, Tredence, Zyte, Thomson Reuters, Gartner, FactSet, General Assembly, Flexport, The GBS Group, Icertis e molte altre. Puoi trovare un elenco completo di 2,010 aziende che utilizzano NLTK su TheirStack.com.
Secondo i nostri dati, NLTK è più popolare in Stati Uniti (771 companies), India (140 companies), Regno Unito (112 companies), Francia (60 companies), Canada (52 companies), Germania (40 companies), Spagna (40 companies), Brasile (34 companies), Paesi Bassi (19 companies), Singapore (18 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano NLTK cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.