Kimola Cognitive
monkeylearn
Keatext
Chattermill
NLP Cloud
Amazon Comprehend
BytesView
Qualtrics
Deep-Talk.ai
Hexowatch
Matrix Analytics
Sigma Computing
Inzata
IntelliFront BI
Incorta
StatCounter
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.
Deep Talk is a no-code deep learning platform to analyze text and conversational data
🔥🔥 What will you find in Deep Talk?
Tools to analyze general text and conversational data
With a few clicks you will know what your customers are talking about
Topic detection for conversations
Topic trends and evolution
Group different topics to follow them (Sales, Complaints, Leads, etc)
Wordcloud for every topic
🦾💪 Who uses Deep Talk?
Customer success teams who want to detect what kind of issues people are experimenting with, new features requested, the most frequent topics people are talking about.
Customer experience teams who want to detect complaints, and why the people are unsatisfied.
Sales teams who want to detect sales opportunities in conversations, mails, chats
Support teams who want to detect the most frequent issues or problems the people are having
AI/Analytics teams who don't want to spend months building and deploying NLP/DL models to process their data or building chatbots from zero
Kimola Cognitive Deep-Talk.aiDeep-Talk.ai's answer:
Turn text into analytics with a no-code platform. Transform customer and employee feedback from any source into actionable data.
I 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.
monkeylearn - Text Mining Made Easy. Extract and classify information from text. Integrate with your App within minutes.
Hexowatch - Your AI sidekick to monitor any page for changes
Keatext - Your most impactful CX improvements start here
Matrix Analytics - Matrix Analytics provides custom analytics solutions to financial firms.
Chattermill - Extract actionable insights from customer feedback using deep learning
Sigma Computing - Sigma is the only BI analytics tool purpose-built for your cloud data warehouse. Uniquely scalable, with an experience you already know: the spreadsheet.
