Spam classification has been a challenge since forever. Most platforms that gather reviews from customers require spam classification to weed out unwanted text.
Using Hazlo.ai you can easily build a spam classifier, in a matter of seconds. All without any knowledge of code, Natural Language Processing or data science.
Know the ham from the spam in three simple steps given below.
Step 1
Go to the Hazlo.ai website and make an account.
Step 2
Once you have made your account. Go to the dashboard and deploy a new dataset from the Dataset tab. You can also use a previously deployed dataset for your model. Here we have deployed a dataset of SpamOrHam. The dataset in question is available at https://bit.ly/3pRhKiO, along with information on it’s features.
You can interact with your dataset by pressing the interact button once the dataset is deployed.
Step 3
Go to Projects and deploy a new project. Name the project, select the data-set which you want to work with, in our case we are working with the SpamOrHam dataset, which we deployed earlier. Select the column which you want to predict from the drop-down menu. Here we have chosen Category from our dataset.
In seconds, Hazlo will clean the dataset, build the model and host it for you.
Access
Interact with the model. Explore the Model Metrics, Model Structure and Get Predictions. You can also embed the model with a single line of code, using our HTML embeds.
See the visualizations on our Model Structure page.
Avail the Small Teams Plan for $49/month and get API access along with Hazlo bot integration into Slack and Discord. Converse with the AI in natural language and get predictions!
The time to build is now! Visit Hazlo.ai to get your very own AI in seconds!
