Uswa Masir
FAST
· 2023
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191-0534
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Academic
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Year
2023
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Career
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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 collaborated on a group project to build an e-commerce product review website using sentiment analysis and data visualization. The project involved scraping data from YouTube and Amazon, processing it with NLP techniques, and developing a full-stack web application.
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.pdfFrom job #14 page 327
Created: 1778169248