Company | Country | Industry | Employees | Revenue |
---|---|---|---|---|
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
|
You can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app. You can analyze text uploaded in your request or integrate with your document storage on Google Cloud Storage.
1
entreprises
Nous disposons de données sur 1 entreprises qui utilisent Google Cloud Natural Language API. Notre liste de clients Google Cloud Natural Language API est disponible en téléchargement et est enrichie de spécificités essentielles de l'entreprise, y compris la classification de l'industrie, la taille de l'organisation, la localisation géographique, les tours de financement et les chiffres d'affaires, entre autres.
Entreprise | Pays | Industrie | Employés | Chiffre d'affaires |
---|---|---|---|---|
V2Solutions | États-Unis | It Services And It Consulting | 800 | $14M |
Voulez-vous télécharger la liste complète ?
Inscrivez-vous et téléchargez la liste complète des 1 entreprises.
Loading countries...
Loading other techonlogies...
Statistiques d'Utilisation Technologique et Part de Marché
Vous pouvez personnaliser ces données selon vos besoins en filtrant par géographie, secteur d'activité, taille de l'entreprise, revenus, utilisation de la technologie, postes de travail et plus encore. Vous pouvez télécharger les données au format Excel ou CSV.
Vous pouvez recevoir des alertes pour ces données. Vous pouvez commencer par sélectionner la technologie qui vous intéresse, puis vous recevrez des alertes dans votre boîte de réception lorsque de nouvelles entreprises utiliseront cette technologie.
Vous pouvez exporter ses données vers un fichier Excel, qui peut être importé dans votre CRM. Vous pouvez également exporter les données vers une API.
Il y a 20 alternatives à Google Cloud Natural Language API
Google Cloud Natural Language API est utilisé dans 1 pays
Questions fréquemment posées
Nos données proviennent d'offres d'emploi collectées auprès de millions d'entreprises. Nous surveillons ces offres sur les sites web des entreprises, les plateformes d'emploi et d'autres plateformes de recrutement. L'analyse des offres d'emploi constitue une méthode fiable pour comprendre les technologies utilisées par les entreprises, y compris l'utilisation de leurs outils internes.
Nous actualisons nos données quotidiennement pour vous garantir un accès à l'information la plus récente disponible. Ce processus de mise à jour fréquente assure que nos insights et notre intelligence reflètent les derniers développements et tendances au sein de l'industrie.
The Google Cloud Natural Language API is a powerful tool that leverages machine learning to analyze and understand the structure and sentiment of text. This API enables developers to extract key information, perform sentiment analysis, entity recognition, and syntax analysis on a wide range of text inputs. By utilizing Google's advanced natural language processing technologies, the API provides accurate and insightful analysis that can be integrated into various applications to enhance user experience and drive better decision-making processes.
Within the category of NLP/Sentiment Analysis, the Google Cloud Natural Language API stands out for its robust functionality and ease of use. It caters to businesses and developers looking to extract valuable insights from vast amounts of text data, enabling them to automate tasks, understand customer sentiments, and analyze trends efficiently. With its comprehensive range of features, the API serves as a vital tool for organizations seeking to gain a deeper understanding of their textual content and make data-driven decisions.
The Google Cloud Natural Language API was founded by Google in order to democratize access to advanced natural language processing capabilities. With the increasing importance of text analysis in various industries, Google aimed to provide a sophisticated yet accessible solution that would enable developers to harness the power of NLP in their applications. The API was officially launched in 2016, marking a significant advancement in the realm of text analysis tools and paving the way for innovative applications across different sectors.
Currently, Google Cloud Natural Language API holds a substantial market share within the NLP/Sentiment Analysis category, thanks to its proven track record of accuracy and efficiency. As businesses continue to recognize the value of text analysis in gaining insights and improving customer experiences, the demand for such advanced NLP tools is expected to grow. With Google's ongoing investment in machine learning and natural language processing technologies, the API is poised to maintain its dominance and expand its market share in the foreseeable future.
Google Cloud Natural Language API offers cutting-edge capabilities in the field of Natural Language Processing (NLP) and Sentiment Analysis. It enables companies to extract insightful information from vast amounts of text data, allowing for better decision-making and enhanced customer insights.
The API excels in accurately determining the sentiment of text, enabling companies to gauge public perception effectively. Its advanced machine learning algorithms surpass other tools in providing precise sentiment analysis results, making it a top choice for companies aiming to understand customer feedback comprehensively.
Google Cloud Natural Language API efficiently identifies entities within text, such as names, locations, and organizations. This feature enhances data parsing capabilities, streamlining information retrieval processes. Compared to traditional methods, the API's entity recognition is more robust and adaptable to various text formats, ensuring comprehensive data analysis.
By accurately detecting languages and providing translation capabilities, the API facilitates multilingual text analysis. This functionality is crucial for global companies seeking to analyze data from diverse regions. The API's fast and accurate language detection and translation outperform other similar technologies, making it a valuable asset for companies operating in international markets.
In summary, Google Cloud Natural Language API offers unparalleled benefits in sentiment analysis, entity recognition, and language processing, making it a top choice for companies looking to leverage advanced NLP capabilities in their operations.
Google Cloud Natural Language API is a powerful tool used by various companies to extract insights from unstructured text data and perform tasks like sentiment analysis, entity recognition, and language detection. Here are some real-world case studies showcasing how companies leverage this technology:
**1. **
Airbnb: Airbnb, the popular online marketplace for lodging, uses Google Cloud Natural Language API to analyze customer reviews and feedback. By leveraging the API's sentiment analysis capabilities, Airbnb gains valuable insights into customer emotions and opinions, enabling them to improve user experience and address potential issues proactively. Airbnb started using Google Cloud Natural Language API in 2017 to enhance their data analytics processes and enhance customer satisfaction.
2.
Twitter: Twitter, one of the leading social media platforms, utilizes Google Cloud Natural Language API to analyze trends and sentiments in user tweets. By processing vast amounts of text data in real-time, Twitter can identify emerging topics, gauge public opinion on various subjects, and optimize its platform for user engagement. Twitter integrated Google Cloud Natural Language API into its analytics infrastructure in 2016, enabling more sophisticated data processing and content curation.
3.
Spotify: Spotify, the popular music streaming service, incorporates Google Cloud Natural Language API into its recommendation engine to understand user preferences and feedback. By analyzing song reviews, artist descriptions, and user comments, Spotify can personalize recommendations, create curated playlists, and enhance user satisfaction. Spotify adopted Google Cloud Natural Language API in 2018 to refine its music recommendation algorithms and provide users with tailored content based on sentiment analysis.
These case studies illustrate how companies across different industries leverage Google Cloud Natural Language API to drive data-driven decision-making, optimize user experience, and extract valuable insights from textual data. By integrating this advanced NLP technology into their workflows, organizations can unlock new opportunities for innovation, efficiency, and customer engagement.
Vous pouvez accéder à une liste actualisée des entreprises utilisant Google Cloud Natural Language API en visitant TheirStack.com. Notre plateforme fournit une base de données complète des entreprises utilisant diverses technologies et outils internes.
À ce jour, nous disposons de données sur 1 entreprises qui utilisent Google Cloud Natural Language API.
Google Cloud Natural Language API est utilisé par une large gamme d'organisations dans divers secteurs, y compris "It Services And It Consulting". Pour une liste complète de tous les secteurs utilisant Google Cloud Natural Language API, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent Google Cloud Natural Language API incluent V2Solutions et bien d'autres encore. Vous pouvez trouver une liste complète des 1 entreprises qui utilisent Google Cloud Natural Language API sur TheirStack.com.
Selon nos données, Google Cloud Natural Language API est le plus populaire dans États-Unis (1 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant Google Cloud Natural Language API en le recherchant sur TheirStack.com. Nous suivons les offres d'emploi de millions d'entreprises et les utilisons pour découvrir quelles technologies et outils internes elles emploient.