GAYATHRI KOLLURU

PROJECT # 1

PROJECT NAME: Google hardware labelling

Client: google

Tool used : cloud computing tool

Role: associate lead, trainer, and junior analyst

Duration: august"2021 to august"2022

Project Description:

The project aims to analyze the google product reviews , identify meaningful snippets classify sentiment as positive or negative, and labelling the reviews with suitable groups and taxonomies. To achieve this, the project involves data collection. pre processing the review data extracting meaningful snippets, and classifying them as positive or negative . Each review will likely include text, product rating, and data of the review. Relevance filtering is used to pick out key statements. Machine learning models can be trained or fine-tuned for more complex analysis. Taxonomy categories are defined to classify reviews based on product aspects or features. In a tool where a machine learning model or automated system is generating labels, we need to prove that it's providing incorrect output. To prove that the machine learning model is making errors.