Text predict tag sale / lease.

• 

  Proposed Approach

Inspiration

Property market is a dynamic and ever changing landscape. New articles published over a period of time change the dynamics of a property being classified as worth selling or leasing.

What it does

Model predicts the a property news can be tagged under sale or lease property by analysis new feeds.

How I built it

I tried my best to build a system to predict

Challenges I ran into

In AWS SageMaker I faced trouble using language models of SpaCy. Generating Entity model followed by prase tree creation of test document.

Accomplishments that I'm proud of

I leant Deep learning for NLP process (EMBED-> ENCODE -> ATTEND -> PREDICT) natural language process flow.

What I learned

Using AWS SageMaker python notebook. Pre-processing is really time consuming task. Pytorch is easy to learn.

What's next for Text predict tag sale / lease.

Expanding the program to run on NN model by extracting verbs and phrase from the data which can improve my prediction model performance.

Built With

• amazon-web-services
• python
• sagemaker