应用文本分类于社交媒体评论。

huangapple go评论54阅读模式
英文:

Apply Text classification on Social Media Comments

问题

我需要对Instagram评论进行分类。
我搜索了很多但是我得到的选项都是情感分析。

由于评论不是很长的文本,摘要也似乎不是一个选项。

我希望分类如下所示。

应用文本分类于社交媒体评论。

英文:

I need to perform Classification on Instagram comments.
I searched a lot but I am getting options for Sentiment Analysis.

Since the comments are not very long text, summarization also doesnt look like an option.

I want the classification to be like the below.

应用文本分类于社交媒体评论。

答案1

得分: 1

我认为你正在处理一个多类文本分类问题。你需要训练一个定制的人工智能模型以满足你的特定目的。你可以选择从头开始创建模型,例如使用LSTMs,或者使用一些预训练模型并在你的自定义数据集上进行训练。

这个链接可能是一个很好的起点。它使用BERT作为基本模型。注意 - 这是一个预训练模型,你可以在HuggingFace找到类似的模型。

你可能也想看看这个。它包含一些基本模型,可能适合你的任务。

英文:

I think you are dealing with a <b>multi-class text classification problem</b>. You need to train a custom AI model to serve your specific purpose. Either you can go by creating a model from scratch, example using LSTMs or you can use some pre-trained models and train them on your custom dataset.

This link could be a good starting point. It uses BERT as the base model. Note- this is a pre-trained model, and you can look for similar models at HuggingFace.

You may also want to check this out. It contains some basic models which may be a good try for your task.

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  • 本文由 发表于 2023年5月22日 14:35:18
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