---
license: apache-2.0
language: en
tags:
- sentence similarity
- semantic search
widget:
- text:
  - I like batman
  - I watch super hero movies
pipeline_tag: sentence-similarity
---

# Dataset Collection:
* The news dataset is collected from Kaggle.
* The dataset has news title ,news content and the label(the label shows the cosine similarity between news title and news content).
* Different strategies have been followed during the data gathering phase.

# sentence transformer is fine-tuned for semantic search and sentence similarity
* The model is fine-tuned on the dataset.
* This model can be used for semantic search,sentence similarity,recommendation system.
* This model can be used for the inference purpose as well.

# Data Fields:
 
**label**: cosine similarity between news title and news content
**news title**: The title of the news
**news content**:The content of the news

# Application:
* This model is useful for the semantic search,sentence similarity,recommendation system.
* You can fine-tune this model for your particular use cases.