Conversations | open source XMPP/Jabber client | Messaging library

I get this error message:

I have a dataset of tens of thousands of dialogues / conversations between a customer and customer support. These dialogues, which could be forum posts, or long-winded email conversations, have been hand-annotated to highlight the sentence containing the customers problem. For example:

Dear agent, I am writing to you because I have a very annoying problem with my washing machine. I bought it three weeks ago and was very happy with it. However, this morning the door does not lock properly. Please help

Dear customer.... etc

The highlighted sentence would be:

However, this morning the door does not lock properly.

1. What approaches can I take to model this, so that in future I can automatically extract the customers problem? The domain of the datasets are broad, but within the hardware space, so it could be appliances, gadgets, machinery etc.
2. What is this type of problem called? I thought this might be called "intent recognition", but most guides seem to refer to multiclass classification. The sentence either is or isn't the customers problem. I considered analysing each sentence and performing binary classification, but I'd like to explore options that take into account the context of the rest of the conversation if possible.
3. What resources are available to research how to implement this in Python (using tensorflow or pytorch)

I found a model on HuggingFace which has been pre-trained with customer dialogues, and have read the research paper, so I was considering fine-tuning this as a starting point, but I only have experience with text (multiclass/multilabel) classification when it comes to transformers.

This question is about architecture more than coding.

Here's the case. In React sometimes we want to hide components. For example, when user opens new page in SPA, when some toast is closed, etc. We can hide them with adding display: none. Or we can remove them from the virtual DOM.

I'm having an issue where multiple users concurrently accessing the same dialog are having their prompt values mixed up. The dialog in question is an Order Status dialog where, among other things, the order number is prompted. I am seeing cases where User 1 queries Order A, User 2 queries Order B (at nearly the same time) and then both users receive information for Order B.

This is a complex dialog and sharing the complete code wouldn't be helpful, but here are a few points I feel may be relevant:

• I am using this.queryData = {} in the constructor to initiate an object to hold all of the order query parameters I am prompting for, including order number.
  • I thought perhaps this object was getting overridden by the second user, but I'm also setting the user and conversation state here, as I do in every dialog, so I'm not sure that's it. I have always assumed each instance of this dialog is created uniquely for each user.
• I am using a simple text prompt:

We have a Rails app that is retrieving conversations with the following raw SQL query:

I am calling slack API(conversations.history) to get channel messages. I want to retrieve sender name in message response. how can i get it?

below is my message response:

I have a Bot Framework Skill written with C# which relays messages from a back end service to a Consumer Bot made with Bot Framework Composer. The Skill Bot receives the messages from the backend service on a separate controller api/message/BackendMessage.

In the Android developer docs at the following web address: https://developer.android.com/jetpack/compose/mental-model#recomposition

There is a composable function which is given as the following:

Summary: I want to Order by before Group

I find a nice article about the problem, but finally not successful to fix it. https://eddies-shop.medium.com/mysql-when-to-order-before-group-13d54d6c4ebb

My Server config:

• Server type: MariaDB
• Server version: 10.6.4-MariaDB - Arch Linux

About the query: I get a list of rooms and messages, but I only need the latest message for each room. so I need to group by conversation_id, and sort by message_id or message_time.

The above query works well but is not complete. In that, for each room, we have duplicate rows.

When I try and uncomment the last line from the query And when I try to apply GROUP BY main.conversation_id. It is no longer in order and the order is broken again.

My Query: