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Name: Rouzbeh Ghasemi

Type: User

Company: HEC Montréal

Bio: MSc International Business Candidate | HEC Montréal | Interested in NLP, Data Science and Marketing

Location: Montreal, Canada

Blog: Rouzbehgh.ir

Hi, I'm Rouzbeh.
I’m interested in Natural Language Processing (NLP) and Marketing. I started my M.Sc. International Business program at HEC Montréal in January 2024. I graduated bachelor of science in Computer Engineering from Amirkabir University of Technology. I enjoy being challenged and engaging in projects that require me to work outside of my comfort and skill set, which led me to learn new things.
I started researching as a senior student; in this regard, I have four research papers and a review paper in NLP. My research mainly aims to improve customer satisfaction by exploring their reviews. I enjoy research about sentiment analysis and customer experiences in using products/services.
From my point of view, future marketing strategies depend on measuring customer satisfaction based on Artificial Intelligence (AI), especially NLP. No one can deny that AI covers all aspects of our life, so we can employ NLP to increase the revenue of a company or organization since people share their attitudes in their reviews. I'm eager to develop my ideas in this field, so do not hesitate to chat with me about this topic.
If you have any exciting things to share or want to chat about, Email me at [email protected] or find other ways at rouzbehgh.ir

Rouzbeh Ghasemi's Projects

100-nlp-papers

100 Must-Read NLP Papers

a-genetic-algorithm-based-on-label-propagation-to-detect-communities-in-directed-networks

Final Projects of Algorithm Design

albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

atae-lstm

realization of paper 《Attention-based LSTM for Aspect-level Sentiment Classification》

basic-computer-design

Final Projects of Computer Architecture Course

battleship

Final Project of my Advanced Computer Programming course

bert-sentiment

Fine-grained Sentiment Classification Using BERT

bioinformatics

My implementation for AUT Bioinformatics course's projects (Spring 2020) under supervision of Dr. Hossein Zeinali, the course instructor.

cardgames

Homework 6 of my Advanced Computer Programming course

compiler

My implementation for AUT compiler course's projects (Spring 2020) under supervision of Dr. Saeedeh Momtazi, the course instructor.

computernetwork-projectone

Here is the Disterbuted-Calculator(first project of computer network course)

computernetwork-projectthree

Here is the gns3 and wireshark project(third projcet of computer network course)

computernetwork-projecttwo

Here is the peer to peer file sharing(second project of computer network course)

coursera

In this repository, the documents will be the archive.

coursera-applied-data-science-with-python

Repository for coursera specialization Applied Data Science with Python by University of Michigan

data-mining

My implementation for AUT Data mining course's projects (Spring 2020) under supervision of Dr. Ehsan Nazerfard, the course instructor.

databaseproject-shop

detect-social-structures-in-the-graph

Final Projects of Data Struct. & Algorithms Course

digikala-crawler

🕷️ A crawler to collect comments and product information on digikala.com

engineering-economics

My implementation for AUT Engineering Economics course's assignment (Fall 2019) under supervision of Prof. Akbar esfahanipour, the course instructor.

face-mask-detection

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fastai-with-transformers-bert-roberta

Fastai with HuggingFace 🤗Transformers (BERT, RoBERTa, XLNet, XLM, DistilBERT)

format

ACM consolidated LaTeX styles

github-do-not-ban-us

Github do not ban us from open source world :iran:

happiness

Sentiment analysis on ~70,000 TripAdvisor hotel reviews using fastai, LSTM, stacking, xgboost

homepage

machine-learning-course

:speech_balloon: Machine Learning Course with Python

ml-hw6-image-classifciation-cnn

The Image Classification Models for the CIFAR-10 dataset using TensorFlow for Machine Learning Assignemnt

mymedialite

recommender system library for the CLR (.NET)

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