SentiOne
IBM Watson Assistant
Intercom
Tars
mention
Brand24
Drift
ManyChat
Amazon Lex
IBM Watson Assistant
Dialogflow
Tars
Chatfuel
Microsoft Bot Framework
Botpress
ChatBot
What do we offer? SentiOne helps listen to what truly matters and react to your audience needs. We provide broad, in-depth online listening and complete reputation management solution. This means you can explore unlimited keywords in any language and get the analysis of mentions from various web sources such as social media, news, blogs, forums in chosen country. You get a broad, clear view. As well as the possibility to answer to your audience straight from our all-in-one platform. You have the means to easily discover the essence of online conversations and lead the way to prove your position in the market.
What makes us different? With SentiOne you benefit the most from: Limitless keywords and results to gain a wide perspective Instant access to countless data to never miss anything Historical data even from 3 years back viewed in real time to prove your impact Advanced filtering providing the most relevant data to get a clear view and find sales opportunities The most accurate sentiment analysis, supported by native language analysts, to identify target groups A complete cutting-edge toolset to truly connect with your audience
SentiOne Amazon LexBased on our record, Amazon Lex seems to be more popular. It has been mentiond 16 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.
For those that have been building on AWS for a long time, in order to build any interactive voice bot, you might have used services like Amazon Lex to build out chatbot responses. I remember at least back in the day, you had to predict how the conversation might go with “intents” and “slots”. - Source: dev.to / about 1 month ago
AWS provides a straightforward approach to create voice-based AI agents in Amazon Connect using the Management Console. With just a couple of clicks you can set up an Amazon Lex bot with all your customers' intents, easily pair it with an Amazon Connect Flow, and voila, your bot is ready to take some customer inquiries. - Source: dev.to / about 2 months ago
However, APIs like Watson Assistant or Amazon Lex make it easy to build services that can apply logic to observed patterns in those natural-language requests. These services may, for instance, observe a sudden rush of calls from an airport suffering take-off delays and change the sequence of options to prioritize rescheduling flights. Or they may see that calls from a particular country or region tend to be... - Source: dev.to / about 1 year ago
Amazon's doesn't care about Mturk, they have their own AI that will eventually automate all their work too https://aws.amazon.com/lex/. Source: about 2 years ago
Amazon Lex, AWS's natural language conversational AI service. With Amazon Connect, it seamlessly leverages Amazon Transcribe to understand what is being said (speech-to-text), and Amazon Polly to provide the verbal response (text-to-speech). We aren't really using the Natural Language powers of Lex, but it has other uses for us:. - Source: dev.to / over 2 years ago
IBM Watson Assistant - Watson Assistant is an AI assistant for business.
Intercom - Intercom is a customer relationship management and messaging tool for web businesses. Build relationships with users to create loyal customers.
Dialogflow - Conversational UX Platform. (ex API.ai)
Tars - TARS enables users to create chatbots that replaces regular old webforms.
mention - Media monitoring made easy with Mention. Create alerts on your name, brand, competitors and be informed in real-time of any mention on the web and social networks
Chatfuel - Chatfuel is the best bot platform for creating an AI chatbot on Facebook.
