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Chatbase

10
12
+ 1
0
IBM Watson

157
231
+ 1
8
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IBM Watson vs Chatbase: What are the differences?

Developers describe IBM Watson as "A question-answering computer system capable of answering questions posed in natural language". It combines artificial intelligence (AI) and sophisticated analytical software for optimal performance as a "question answering" machine. On the other hand, Chatbase is detailed as "Build your best virtual agent". It is a service that makes it easier to analyze and optimize bots for better user experiences. Works with any platform or bot + free to use.

IBM Watson and Chatbase can be categorized as "Chatbot Platforms &" tools.

Chatbase is an open source tool with 54 GitHub stars and 35 GitHub forks. Here's a link to Chatbase's open source repository on GitHub.

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Pros of Chatbase
Pros of IBM Watson
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    • 4
      Api
    • 1
      Prebuilt front-end GUI
    • 1
      Intent auto-generation
    • 1
      Custom webhooks
    • 1
      Disambiguation

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    Cons of Chatbase
    Cons of IBM Watson
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      • 1
        Multi-lingual

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      - No public GitHub repository available -

      What is Chatbase?

      It is a service that makes it easier to analyze and optimize bots for better user experiences. Works with any platform or bot + free to use.

      What is IBM Watson?

      It combines artificial intelligence (AI) and sophisticated analytical software for optimal performance as a "question answering" machine.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Chatbase?
      What companies use IBM Watson?
      See which teams inside your own company are using Chatbase or IBM Watson.
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      What tools integrate with Chatbase?
      What tools integrate with IBM Watson?

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      What are some alternatives to Chatbase and IBM Watson?
      Dialogflow
      Give users new ways to interact with your product by building engaging voice and text-based conversational apps.
      Telegram Bot API
      Bots are third-party applications that run inside Telegram. Users can interact with bots by sending them messages, commands and inline requests. You control your bots using HTTPS requests to our bot API.
      Microsoft Bot Framework
      The Microsoft Bot Framework provides just what you need to build and connect intelligent bots that interact naturally wherever your users are talking, from text/sms to Skype, Slack, Office 365 mail and other popular services.
      Messenger Platform
      With bots and live-messaging tools, you can create a custom experience for your unique audience.
      Amazon Lex
      Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions.
      See all alternatives