--- description: Busca información actualizada sobre MonkeyLearn en GetApp Colombia. Lee opiniones verificadas y descubre sus funciones, características, precios y usabilidad. Compara MonkeyLearn con productos similares hasta encontrar la opción adecuada. image: https://gdm-localsites-assets-gfprod.imgix.net/images/getapp/og_logo-94fd2a03a6c7a0e54fc0c9e21a1c0ce9.png title: MonkeyLearn: precios, funciones y opiniones | GetApp Colombia 2026 --- Breadcrumb: [Inicio](/) > [Programas de análisis estadístico](/directory/361/data-analytics/software) > [MonkeyLearn](/software/109693/monkeylearn) # MonkeyLearn Canonical: https://www.getapp.com.co/software/109693/monkeylearn > MonkeyLearn es una solución de analíticas de texto basada en la nube. Está diseñada para extraer datos de correos electrónicos, encuestas, tuits o cualquier texto y convertirlos en visualizaciones personalizadas. La plataforma proporciona información y automatizaciones de flujos de trabajo para asistencia, productos, CX y equipos de desarrollo. > > Veredicto: 4 usuarios lo han valorado con **4.3/5**. De los mejores valorados en **Probabilidad de recomendación**. ----- ## Estadísticas y valoraciones rápidas | Métrica | Calificación | Detalles | | **En general** | **4.3/5** | 4 Opiniones | | Facilidad de uso | 4.8/5 | Basado en las opiniones generales | | Asistencia al cliente | 4.8/5 | Basado en las opiniones generales | | Relación calidad-precio | 4.5/5 | Basado en las opiniones generales | | Funciones | 4.0/5 | Basado en las opiniones generales | | Porcentaje de recomendaciones | 90% | (9/10 Probabilidad de recomendación) | ## Sobre el proveedor - **Empresa**: MonkeyLearn - **Ubicación**: Wilmington, EE. UU. - **Constitución**: 2014 ## Contexto comercial - **Precio inicial**: US$ 299,00 - **Modelo de precios**: (versión gratuita disponible) (Prueba gratis) - **Público objetivo**: 2-10, 11-50, 51-200, 201-500, 501-1.000, 1.001-5.000, 5.001-10.000, 10.000+ - **Despliegue y plataformas**: Cloud, SaaS, Web - **Idiomas admitidos**: inglés - **Países disponibles**: Estados Unidos ## Funciones - API - Agrupación temática - Análisis de autoservicio - Análisis de sentimientos - Análisis de texto - Análisis predictivo - Análisis visual - Aprendizaje automático - Aprendizaje profundo - Automatización proceso/flujo de trabajo - Búsqueda boleana - Búsqueda/filtro - Clasificación de temas - Clasificación taxonómica - Creación de informes y estadísticas - Creación de informes/análisis - Creación de paneles de comunicaciones - Descubrimiento de datos - Detección del idioma - Etiquetado ## Integraciones (en total: 5) - Altair AI Studio - Google Sheets - Microsoft Excel - Zapier - Zendesk Suite ## Opciones de asistencia - Preguntas frecuentes/foro - Base de conocimientos - Chat ## Categoría - [Programas de análisis estadístico](https://www.getapp.com.co/directory/361/data-analytics/software) ## Categorías relacionadas - [Programas de análisis estadístico](https://www.getapp.com.co/directory/361/data-analytics/software) - [Herramientas de análisis de datos](https://www.getapp.com.co/directory/1129/data-analysis/software) - [Software de Text Mining](https://www.getapp.com.co/directory/1161/text-mining/software) - [Software de inteligencia artificial](https://www.getapp.com.co/directory/1397/artificial-intelligence/software) - [Herramientas de Machine Learning](https://www.getapp.com.co/directory/1399/machine-learning/software) ## Alternativas 1. [Deep Talk](https://www.getapp.com.co/software/2055740/deep-talk) — 4.8/5 (12 reviews) 2. [SAS Viya](https://www.getapp.com.co/software/2065099/sas-viya) — 4.4/5 (12 reviews) 3. [Max AI](https://www.getapp.com.co/software/104131/answerrocket) — 4.6/5 (15 reviews) 4. [Accern](https://www.getapp.com.co/software/2039343/accern) — 5.0/5 (1 reviews) 5. [Tableau](https://www.getapp.com.co/software/90797/tableau-software) — 4.6/5 (2351 reviews) ## Opiniones ### "Best platform for implementing machine learning" — 4.0/5 > **Neha** | *27 de agosto de 2018* | Software informático | Valoración de la recomendación: 9.0/10 > > **Puntos a favor**: 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. > > **Puntos en contra**: 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 de agosto de 2022* | Tecnología y servicios de la información | Valoración de la recomendación: 9.0/10 > > **Puntos a favor**: 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 > > **Puntos en contra**: 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 de junio de 2022* | Tecnología y servicios de la información | Valoración de la recomendación: 8.0/10 > > **Puntos a favor**: , 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. > > **Puntos en contra**: 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 de abril de 2019* | Propiedad inmobiliaria | Valoración de la recomendación: 10.0/10 > > **Puntos a favor**: 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 > > **Puntos en contra**: 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 ## Enlaces - [Ver en GetApp](https://www.getapp.com.co/software/109693/monkeylearn) ## Esta página se encuentra disponible en los siguientes idiomas | Local | URL | | de | | | de-AT | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-CL | | | es-CO | | | es-MX | | ----- ## Datos estructurados