--- description: Detaillierte Informationen über MonkeyLearn zu Benutzerfreundlichkeit, Funktionen, Kosten, Vor- und Nachteilen aus verifizierten Nutzer-Erfahrungen. Lies Ratings & Bewertungen und entdecke ähnliche Tools. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: MonkeyLearn Erfahrungen, Vor- und Nachteile – Capterra Deutschland 2026 --- Breadcrumb: [Startseite](/) > [Text Mining Software](/directory/30933/text-mining/software) > [MonkeyLearn](/software/166580/monkeylearn) # MonkeyLearn Canonical: https://www.capterra.com.de/software/166580/monkeylearn > KI-Plattform, um Text mit maschinellem Lernen zu analysieren und E-Mails, Tweets, Umfragen oder beliebigen Text in nutzbare Daten umzuwandeln. > > Bewertung: **4.3/5** von 4 Nutzern. Top bewertet für **Weiterempfehlungsquote**. ----- ## Übersicht ### Wer verwendet MonkeyLearn? Kleine und mittlere Unternehmen, die Text in nutzbare Daten umwandeln müssen. Die Benutzer reichen von Vermarktern bis hin zu Verkäufern, Kundendienstteams, Datenanalysten, Entwicklern und anderen. ## Kurzstatistiken und Ratings | Metrik | Bewertung | Detail | | **Gesamt** | **4.3/5** | 4 Nutzerbewertungen | | Bedienkomfort | 4.8/5 | Auf Basis der Gesamtbewertungen | | Kundenbetreuung | 4.8/5 | Auf Basis der Gesamtbewertungen | | Preis-Leistungs-Verhältnis | 4.5/5 | Auf Basis der Gesamtbewertungen | | Funktionen | 4.0/5 | Auf Basis der Gesamtbewertungen | | Empfehlungsprozentsatz | 90% | (9/10 Weiterempfehlungsquote) | ## Über den Anbieter - **Unternehmen**: MonkeyLearn - **Region**: Wilmington, USA - **Gegründet**: 2014 ## Gewerblicher Kontext - **Startpreis**: 299,00 $ - **Preismodell**: (Kostenlose Version verfügbar) (Kostenlose Testversion) - **Zielgruppe**: 2–10, 11–50, 51–200, 201–500, 501–1.000, 1.001–5.000, 5.001–10.000, 10.000+ - **Bereitstellungen und Plattformen**: Cloud, SaaS, webbasiert - **Unterstützte Sprachen**: Englisch - **Verfügbare Länder**: Vereinigte Staaten ## Funktionen - Aktivitäts-Dashboard - Berichterstattung / Analyse - Berichterstattung und Statistik - Daten-Identifizierung - Daten-Import / -Export - Datenextraktion - Datenvisualisierung - Deep Learning - Etikettierung - Maschinelles Lernen - Mehrsprachig - Prozess-/Workflow-Automatisierung - Prädiktive Analytik - Prädiktives Modellieren - Self-Service-Analysen - Sentiment-Analyse - Spracherkennung - Spracherkennung - Suchen / filtern - Textanalyse - Third-Party Integrations - Werkzeuge zur Zusammenarbeit - Zuordnung von Wörtern zu Wortarten ## Integrationen (5 insgesamt) - Altair AI Studio - Google Sheets - Microsoft Excel - Zapier - Zendesk Suite ## Optionen für Kundensupport - FAQ/Forum - Wissensdatenbank - Chat ## Category - [Text Mining Software](https://www.capterra.com.de/directory/30933/text-mining/software) ## Ähnliche Kategorien - [Text Mining Software](https://www.capterra.com.de/directory/30933/text-mining/software) - [KI Tools](https://www.capterra.com.de/directory/30938/artificial-intelligence/software) - [Datenanalyse Tools](https://www.capterra.com.de/directory/31077/data-analysis/software) - [Machine Learning Software](https://www.capterra.com.de/directory/31103/machine-learning/software) - [Statistik-Programme](https://www.capterra.com.de/directory/30752/statistical-analysis/software) ## Alternativen 1. [Deep Talk](https://www.capterra.com.de/software/1026391/deep-talk) — 4.8/5 (12 reviews) 2. [OpenText Analytics Cloud](https://www.capterra.com.de/software/177019/opentext-analytics-suite) — 5.0/5 (1 reviews) 3. [SAS Viya](https://www.capterra.com.de/software/1043140/sas-viya) — 4.4/5 (12 reviews) 4. [Wolfram Mathematica](https://www.capterra.com.de/software/171048/wolfram-mathematica) — 4.6/5 (169 reviews) 5. [Accern](https://www.capterra.com.de/software/215557/accern) — 5.0/5 (1 reviews) ## Nutzerbewertungen ### "Best platform for implementing machine learning" — 4.0/5 > **Neha** | *27. August 2018* | Computer-Software | Empfehlungsbewertung: 9.0/10 > > **Vorteile**: 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. > > **Nachteile**: 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. August 2022* | Informationstechnologie & -dienste | Empfehlungsbewertung: 9.0/10 > > **Vorteile**: 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 > > **Nachteile**: 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. Juni 2022* | Informationstechnologie & -dienste | Empfehlungsbewertung: 8.0/10 > > **Vorteile**: , 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. > > **Nachteile**: 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. April 2019* | Immobilien | Empfehlungsbewertung: 10.0/10 > > **Vorteile**: 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 > > **Nachteile**: 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 ## Links - [Auf Capterra anzeigen](https://www.capterra.com.de/software/166580/monkeylearn) ## Diese Seite ist in den folgenden Sprachen verfügbar | Sprache | 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 | | ----- ## Strukturierte Daten