Text Classification Model in Python
Budget: $30 – $250 USD
Hello,
I need to create a text classification model to classificate social media posts according to its content (4 labels: eg. promotional, informative, etc.).
I've been studying machine learning in my spare time, so this is gonna help me in my learning journey.
You can use any text classifier (naive bayes, SVM, GBoosting, clustering) as long as it's good enough. It would be a dream if the model was a pre-trained model like BERT or XLNet, but it's not a requirement. Also, it'll be nice if you compare at least 2 classifiers.
The dataset consists of social media posts and it's structured (xlsx) and labelled (by human classification). The data requires minimum cleaning I think.
Please, note that I'll study the code, so you'll need to explain the steps in the notebook provided. I have a fairly good knowledge about machine learning, more conceptual than practice.
If you have any questions, please ask me.
I need to create a text classification model to classificate social media posts according to its content (4 labels: eg. promotional, informative, etc.).
I've been studying machine learning in my spare time, so this is gonna help me in my learning journey.
You can use any text classifier (naive bayes, SVM, GBoosting, clustering) as long as it's good enough. It would be a dream if the model was a pre-trained model like BERT or XLNet, but it's not a requirement. Also, it'll be nice if you compare at least 2 classifiers.
The dataset consists of social media posts and it's structured (xlsx) and labelled (by human classification). The data requires minimum cleaning I think.
Please, note that I'll study the code, so you'll need to explain the steps in the notebook provided. I have a fairly good knowledge about machine learning, more conceptual than practice.
If you have any questions, please ask me.