Wednesday, August 12Digital Marketing Journals

Tag: context

Python libraries like TextBlob, symspell, pyspellchecker and Flan-T5 based grammar checker in the context of spell and grammar checking| Chetan Khadke
15Sep By Chetan KhadkeNo Comments
best chatbot, chatbot, chatbot app, chatbot online, chatbot website, creating chatbots, hugging-face, nlp, robot chat, spell-check, text, textblob

Python libraries like TextBlob, symspell, pyspellchecker and Flan-T5 based grammar checker in the context of spell and grammar checking| Chetan Khadke

The article explores the practical application of essential Python libraries like TextBlob, symspell, pyspellchecker and Flan-T5 based grammar checker in the context of spell and grammar checking. It provides a detailed overview of each library’s unique contributions and explains how they can be combined to create a functional system that can detect and correct linguistic errors in text data. Additionally, the article discusses the real-world implications of these tools across diverse fields, including academic writing, content creation, and software development. This valuable resource is intended to assist Python developers, language technologists, and individuals seeking to enhance the quality of their written communication.In this article, we will understand the following:What are the s...
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Why good chatbots need context, not tree-based flows | by Rensen Ho | Sep, 2021
1Nov By Rensen HoNo Comments
ai bot, ai chat, ai chatbot, best chatbot, chatbot, chatbot ai, chatbot app, chatbot online, chatbot website, chatbots, conversation with ai, conversational-ai, creating chatbots, robot chat

Why good chatbots need context, not tree-based flows | by Rensen Ho | Sep, 2021

In the example, you’re interested in visiting an attraction site and want to find out how much the entrance tickets are, so you ask,User: “How much are tickets for 2 adults and 1 child to the cloud forest?”Surprisingly, the chatbot didn’t know the answer, despite having the relevant API integrations.Bot: “Sorry, I’m still learning.”With a bit of guidance, the chatbot redirects you to a guided (rule-based) conversation flow. It suggests that you should say “Buy tickets” first, followed by “Ticket prices”, and finally “Cloud Forest” to get to the answer.Bot: “Tickets are available on the website.”Not quite close yet.The vast majority of virtual agents use a natural language understanding (NLU) model, but users are still stunted with the unnatural dialogues.One cannot simply explain the intel...
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Making chatbots reply smarter with context using Dialogflow Fulfillment | by Rensen Ho | Sep, 2021
10Oct By Rensen HoNo Comments
ai bot, ai chat, ai chatbot, aiconversation, best chatbot, chatbot, chatbot ai, chatbot app, chatbot online, chatbot website, chatbots, conversation with ai, creating chatbots, dialogflow, robot chat, serverless-functions

Making chatbots reply smarter with context using Dialogflow Fulfillment | by Rensen Ho | Sep, 2021

1. Instead of one intent with the required slot filling parameters, create that intent followed by one intent for each parameter. (See purple boxes above)2. In those intents with a single slot filling parameter, set it optional.3. Put all entities extracted from any intent into the conversation context programmatically. (See the blue box above)4. Make a functional response for a group of related intents (see the orange box above), so that you’re making a chatbot to reply based on the user’s intent and information (either mentioned or referred from context), instead of intent without information.Let’s take a closer look at the code.Start by creating a map of intents. Let the agent (a webhook client) use the intent map to handle incoming messages.Remember to create those intents in Dialogflo...
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