--- description: MonkeyLearn : qu'en pensent les utilisateurs ? Lisez les avis clients sur MonkeyLearn, consultez les prix, tarifs, abonnements et découvrez ses fonctionnalités grâce à Capterra Luxembourg. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: MonkeyLearn - Avis, notes, prix et abonnements - Capterra Luxembourg 2026 --- Breadcrumb: [Accueil](/) > [Fouille de textes (test mining)](/directory/30933/text-mining/software) > [MonkeyLearn](/software/166580/monkeylearn) # MonkeyLearn Canonical: https://www.capterra.lu/software/166580/monkeylearn > Plateforme d'intelligence artificielle pour analyser du texte avec Machine Learning et transformer les e-mails, les tweets, les sondages ou tout autre texte en données exploitables. > > Conclusion : 4 utilisateurs lui ont donné la note de **4.3/5**. Figure au meilleur classement pour **Probabilité de recommander le produit**. ----- ## Présentation ### Qui utilise MonkeyLearn ? Les petites et moyennes entreprises qui ont besoin de transformer le texte en données exploitables. Les utilisateurs vont du marketing aux vendeurs, en passant par les équipes de support client, les analystes de données, les développeurs, pour ne citer qu'eux. ## Statistiques et notes | Métrique | Notation | En détail | | **Note globale** | **4.3/5** | 4 Avis | | Simplicité | 4.8/5 | D'après l'ensemble des avis | | Support client | 4.8/5 | D'après l'ensemble des avis | | Rapport qualité-prix | 4.5/5 | D'après l'ensemble des avis | | Fonctionnalités | 4.0/5 | D'après l'ensemble des avis | | Pourcentage de recommandation | 90% | (9/10 Probabilité de recommander le produit) | ## À propos de l'éditeur - **Société**: MonkeyLearn - **Pays**: Wilmington, É.-U. - **Fondé**: 2014 ## Contexte commercial - **À partir de**: 299,00 $US - **Type de licence**: (Version gratuite disponible) (Essai gratuit) - **Public cible**: 2–10, 11–50, 51–200, 201–500, 501–1.000, 1.001–5.000, 5.001–10.000, 10.000+ - **Déploiement et plateformes**: Cloud, SaaS, web - **Langues**: anglais - **Pays disponibles**: États-Unis ## Fonctionnalités - Analyse de texte - Analyse des sentiments - Analyse en libre-service - Analyse prédictive - Automatisation des processus et flux de travail - Balisage des éléments du discours - Data discovery - Deep learning - Détection de la langue - Extraction de données - Importation et exportation de données - Machine learning - Marquage - Modélisation prédictive - Outils de collaboration - Prise en charge de plusieurs langues - Rapports et analyses - Rapports et statistiques - Recherche/Filtre - Reconnaissance vocale - Tableau de bord d'activités - Third-Party Integrations - Visualisation de données ## Intégrations (5 au total) - Altair AI Studio - Google Sheets - Microsoft Excel - Zapier - Zendesk Suite ## Ressources d'aide - FAQ/forums - Base de connaissances - Chat ## Category - [Fouille de textes (test mining)](https://www.capterra.lu/directory/30933/text-mining/software) ## Catégories connexes - [Fouille de textes (test mining)](https://www.capterra.lu/directory/30933/text-mining/software) - [Logiciels d'intelligence artificielle](https://www.capterra.lu/directory/30938/artificial-intelligence/software) - [Logiciels d'analyse de données](https://www.capterra.lu/directory/31077/data-analysis/software) - [Machine learning](https://www.capterra.lu/directory/31103/machine-learning/software) - [Analyse statistique](https://www.capterra.lu/directory/30752/statistical-analysis/software) ## Logiciels similaires 1. [Deep Talk](https://www.capterra.lu/software/1026391/deep-talk) — 4.8/5 (12 reviews) 2. [OpenText Analytics Cloud](https://www.capterra.lu/software/177019/opentext-analytics-suite) — 5.0/5 (1 reviews) 3. [SAS Viya](https://www.capterra.lu/software/1043140/sas-viya) — 4.4/5 (12 reviews) 4. [Wolfram Mathematica](https://www.capterra.lu/software/171048/wolfram-mathematica) — 4.6/5 (169 reviews) 5. [Accern](https://www.capterra.lu/software/215557/accern) — 5.0/5 (1 reviews) ## Avis ### "Best platform for implementing machine learning" — 4.0/5 > **Neha** | *27 août 2018* | Logiciels | Taux de recommandation : 9.0/10 > > **Avantages**: It provides a great user-interface and is flexible. It has a well-documented API that is also very user-friendly. It has provided tutorials that turns handy when required. It is contaminated with many models for performing various tasks like text analysis. At the same time, it is also easy to use. > > **Inconvénients**: There is a limitation provided on the number of queries one can make as per their current plan. But that is still not an issue as it does not affect much to the overall development and functionality of the software. > > The main problem it has helped in solving through is the decrease in work load that was required earlier and at the same time increasing the efficiency and rate of accuracy. ----- ### "Varieties of text analytics APIs can be found in Monkeylearn only\! The best of the best..." — 4.0/5 > **Srinivasa Ashok** | *25 août 2022* | Services et technologies de l'information | Taux de recommandation : 9.0/10 > > **Avantages**: I liked mostly 1) The process of data scrapping (build), process (run), and analysis (analytics) is very simple and user-friendly. 2) Sample templates for Zoom and Netflix are provided to get the taste of the generic text analysis > > **Inconvénients**: They are in all places. Innovation in the analysis is required and seen less in the platform. > > A good platform/software with common analysis and variety of sentiment analysis. ----- ### "MonkeyLearn Review for Final Project" — 4.0/5 > **Fnu** | *3 juin 2022* | Services et technologies de l'information | Taux de recommandation : 8.0/10 > > **Avantages**: , and neutral sentiments along with the confidence scores. I created my own classifier too for one of my projects where I was able to use my model to train the rest of my data. I further used the keyword + sentiment analysis template to generate tags and classification of input data. this helped me get sentiment analysis and the keywords extraction from the template. Further, the platform gives us visualization in form of colored positive, negative, and neutral classification of input text data. the tool provides a word cloud which is helpful to understand the important keywords occurring most frequently. > > **Inconvénients**: There are very less things or say not any as such that I didn't like about this software. However, I can state a few of the things that I felt can enhance a user experience while starting to use this software and might can help in improving the decision to buy this tool as paid subscription as follows. Firstly, it is great to have used the trial version of any such platform which allows us to use try and test the platform. This tool allows us to use this platform for free by creating a login. I would have been happier to have allowed more than 1K of input rows of data that is allowed in the free version as nowadays we are generally using really large files of datasets, especially when using text or sentiment analysis the dataset is generally large. So if by any chance the tool could provide a new user to use the platform by not limiting the count of rows to be classified but rather letting them use the platform for free for a limited set of free days would help and enable the user to take decision more effectively. Another reason for this is sometimes we might want to rerun a data set using some other column or additional column of data as input to the classifier, and so on. but in the case of having a fixed 1K rows allowed, we cannot actually use the platform to its full potential to test the platform. > > My overall experience with the tool "MonkeyLearn" was helpful and it helped me in getting the sentiment analysis + keyword analysis done efficiently. I used the results obtained thus through this tool for use in my other projects as Raw data (input data). This tool is very easy to use and comes with a self-learning experience. It is one of the by far best sentiment analysis tools I have used so far and it gives you a classification of up to 75% correct sentiment classification of your input data as compared to actual classification. ----- ### "Amazing support team and user interface\!" — 5.0/5 > **Evan** | *22 avril 2019* | Immobilier | Taux de recommandation : 10.0/10 > > **Avantages**: this software is super easy to use and makes ML algorithms honestly a total piece of cake to create - I'm not even sure how to code. So this is an awesome service, and I've really enjoyed it. PLUS their support is phenomenal. Way above and beyond > > **Inconvénients**: It's a little bit pricey, but that is because there is no coding, hosting, or any of the complex stuff normally associated with deploying a machine learning algorithm ## Liens - [Afficher sur Capterra](https://www.capterra.lu/software/166580/monkeylearn) ## Cette page est disponible dans les langues suivantes. | Langue | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-AR | | | es-CL | | | es-CO | | | es-CR | | | es-DO | | | es-EC | | | es-MX | | | es-PA | | | es-PE | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | it | | | pt | | | pt-PT | | ----- ## Données structurées