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Uswa Masir

FAST · 2023 · 191-0534

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Phone

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GitHub

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Academic

Program

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CGPA

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Year

2023

Education

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Address

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DOB

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Career

Current role

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Target role

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Skills

React, MongoDB, Nodejs, NLTK, Hugging Transformers, Data Scraping, Data Preprocessing, Data Modeling, Feature Selection, Selection of NLP algorithms, Generic Review Generation, Accuracy Analysis, Aspect Based Review generation, Website Development, Data Visualization

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.

GROUP MEMBERS
Uswa Masir 191-0534
Qurat Ul Ain 191-0685
Meshal Cheema 191-1977

Out Of Ten – An E-Commerce product reviewing website
Out of Ten is a website where reviews related to products are available. Users will choose their product category. Then, they will enter the product name, and review regarding that product will be displayed using data visualization in two ways, either positive or negative or neutral as well aspect-based review will also be generated. Online reviews have been shown to have a considerable impact on consumers attitudes regarding the goods being reviewed as well as their propensity to buy a product or subscribe to a service.
The data to generate the review will be scraped from reviews of the product from you-tube, videos, comments beneath that video, from websites and from already available amazon related products reviews data. The data gathered will undergo pre-processing, transformation and modelling. Doing sentiment-based analysis tools and techniques that will be applied to them to generate correct reviews for that product.

Flow Diagram
Products Selection → Data Scrapping → Data Structuring
Storage of Data ← Web Development ← Sentiment Analysis (Generic & Aspect Based) ← Data Exploration & Modeling
Review Visualization → Results

Timeline
September-October 2022: Data Scraping, Data Preprocessing, Data Modeling
November-December 2022: Feature Selection, Selection of NLP algorithms, Generic Review Generation, Accuracy Analysis
January-February 2023: Aspect Based Review generation, Accuracy Analysis
March-April 2023: Website Development, Data Visualization

Tools and Technologies
python, mongoDB, node, react, python, NLTK, Hugging Face

Technology Used:
React, MongoDB, Nodejs, NLTK, Hugging Transformers
Supervisor Name:
Ms. Noor Ul Ain
Group Members:
Uswa Nasir (i19 - 0534)
Qurat Ul Ain (i19 - 0685)
Meshal Cheema (i19 - 1977)

AI enrichment

Uswa Masir is a student who contributed to a group e-commerce product review website project involving data scraping, sentiment analysis, and web development. The project utilized Python, NLTK, Hugging Face, React, and MongoDB to generate and visualize aspect-based reviews.

Skills (AI)

["Python", "React", "Node.js", "MongoDB", "NLTK", "Hugging Face Transformers", "Data Scraping", "Sentiment Analysis", "Data Visualization", "NLP"]

Status: ai_done

Provenance

Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 327
Created: 1778140212