Kimola Cognitive
Deep-Talk.ai
Keatext
Chattermill
NLP Cloud
Amazon Comprehend
BytesView
Qualtrics
monkeylearn
Amazon Comprehend
spaCy
Google Cloud Natural Language API
BytesView
Chattermill
AYLIEN
Lexalytics Semantria
Kimola Cognitive is a rock-solid Machine Learning Platform that enables users to grab reviews from 20+ channels and analyze + classify customer feedback -or any text data- automatically. Here are TOP skills of Kimola Cognitive:
Scrape Web and Collect Reviews Data analysis starts with data collection, and we made it as easy as pie. Kimola offers a web browser extension for marketing and research professionals to scrape content from the web to analyze and classify. It supports over 20 mediums, such as Amazon, Yelp, Youtube, Capterra, and TrustPilot. Add this extension to your browser and set it up with one easy step to get started.
Pre-Built models There is a gallery of ready-to-use machine learning models for the most common use cases like sentiment and hate speech analysis along with consumer conversations around SaaS products, mobile apps, games. Choose one or more models to classify your data.
Create & store custom machine learning models Every research is a different journey to understand humankind, so requirements will usually be unique. That's why Kimola Cognitive also supports creating custom Machine Learning models by training your own dataset. The platform takes care of choosing the best performing statistical model for your training set to ensure the best accuracy rate possible.Your custom machine learning models are hosted on Kimola Cognitive and can be used via the user interface and API.
Kimola Cognitive monkeylearnI work in an e-commerce industry. I take Amazon reviews of the product and analyze them by e-commerce model. Also, using the GPT integration to write Amazon product descriptions makes my job a lot easier. This is very good for SEO.
like the models and the chrome extension for getting the data. It used to take me one tool to scrape the data then another to analyse the data but now with the models Im in heaven with it all in this one tool.
Based on our record, monkeylearn seems to be more popular. It has been mentiond 11 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
MonkeyLearn: A platform for text analysis and machine learning, allowing users to train custom models for tasks like sentiment analysis and topic classification. Source: 5 months ago
Monkeylearn.com — Text analysis with machine learning, free 300 queries/month. - Source: dev.to / over 1 year ago
MonkeyLearn supports 11 languages for data analysis (Spanish, Portuguese, German, Russian, Italian, French, Dutch, Chinese, Japanese, Korean and Arabic). But for sentiment analysis, only Spanish seems to be available, I’m not sure about that. Source: over 1 year ago
R3: Used RedditExtractoR in R to download all-time top posts, and ran the resulting .csv through https://monkeylearn.com/. Downloaded the resulting table and deleted top result "OC" - then visualized it with ggplot to give a sense of absolute numbers. Total posts considered in this are 988, the word cloud only looks at the 98 most mentioned words/phrases. Let me know if you have got any questions/concerns! Source: almost 2 years ago
Go to monkeylearn.com and sign up for a free demo. Then cut and paste your blog text into the extractor/classifier. Source: almost 2 years ago
Deep-Talk.ai - Deep Talk is the easiest way to turn customer and employee feedback into analytics and actionable data.
Amazon Comprehend - Discover insights and relationships in text
Keatext - Your most impactful CX improvements start here
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
Chattermill - Extract actionable insights from customer feedback using deep learning
Google Cloud Natural Language API - Natural language API using Google machine learning