Bhargav D. Profile

4.9

(28 ulasan)

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$15 USD / jam

nadiad,

india

$15 USD / jam

Sekarang ini 3:08 PG di sini

Menyertai pada Januari 16, 2016

4 Syor

Bhargav D.

@bhargavdave

4.9

(28 ulasan)

4.0

$15 USD / jam

nadiad,

india

$15 USD / jam

83%

Pekerjaan Disiapkan

69%

Mengikut Bajet

55%

Tepat Pada Masa

Kadar Upah Semula

Machine Learning and Deep Learning Expert

I just passed [login to view URL] with a Machine learning specialization from DAIICT, Gandhinagar. Currently, I am a member of the IRNLP lab at DAIICT and Junior Research Fellow (JRF) in a project MHRD sponsored project with a joint consortium of IIT Kharagpur, IIT Bombay, IIT Patna, DA-IICT and AU-KBC. I also published a paper, "Query specific graph-based query reformulation using UMLS for clinical information access" in the Journal of Biomedical Informatics. Recently I got 3rd rank in shared task on offensive language identification in Dravidian languages in DravidianLangTech@EACL2021 and 2nd rank in shared task on hope speech detection for equality, Diversity, and Inclusion. I am one of the organizers of the shared task on event detection from news in Indian languages (EDNIL) @ FIRE2020. Also I am organizer of Forum for Information Retrieval Evaluation (FIRE).

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Item Portfolio

Sentiment Analysis of Review

Customer Churn Prediction

Below SVM Kernal implemented form scrach in this Project
1)Gaussian kernel
2)inear kernel
3)Polynomial Kernel
4)Sigmoid Kernel
5)Multiquadric Kernel
6)Cauchy kernel
7)TStudent Kernel

SVM Kernal Kernal From Scrach

Fake User Classfication

Website for Supplier Compney

Ulasan

Perubahan disimpan

Menunjukkan 1 - 5 daripada 28 ulasan

Tapis ulasan mengikut:

1.0

₹3,000.00 INR

Humour Classification and Prediction Model

He was unable to complete the project due to some reasons but informed me of that just one day before the deadline

Python

Report Writing

Machine Learning (ML)

Deep Learning

NLP

Rishabh T.

@rishabht97

•

3 bulan yang lalu

1.0

$10.00 USD

Project 34872702 has been deleted

***Freelancer.com Admin has removed this review due to inappropriate content - IONW-2611-KWWF***

Olea Jacquelyn P.

@tori100

•

8 bulan yang lalu

5.0

$20.00 USD

K_Fold cross validation

He is good and too professional

Python

Machine Learning (ML)

Deep Learning

Neha G.

@gtmneha

•

8 bulan yang lalu

5.0

₹14,000.00 INR

Web Scrapping and Sentiment analysis using NLP and LSTM method

Best support and timely work

Python

Web Scraping

Machine Learning (ML)

NLP

GSFGMICROLOG PVT LTD

@GSFG123

•

10 bulan yang lalu

5.0

₹800.00 INR

Research article to IEEE format

simply awesome and quality work.

Moulesh M.

@mouleshm1710

•

11 bulan yang lalu

Pengalaman

Dhirubhai Ambani Institute of Information and Communication Technology

Ogo 2019 - Hari ini

A platform for Cross-lingual and Multilingual Event Monitoring in Indian Languages. The project aims to build a cross-lingual, multi-lingual, multi-source and multi-domain platform for information extraction (IE) in Indian languages (ILs) to extract and classify events of interest from news media and to demonstrate the application in a few domains. This project is subpart of the project named “Imprint” which is funded by MHRD (Ministry of Human Resource and Development)

A.live Mind

Jan 2017 - Jul 2018 (1 tahun, 6 bulan)

I am working in a.live mind as Web Developer from last six month.I work on many websites as front end and backend developer in the company.Mainly i use Html,CSS,Javascript,PHP,Jquery for web design. I use PHP codigneter framework in back end.I am very well in it now.

Pendidikan

M.tech in ICT with Machine Learning Specialization

Dhirubhai Ambani Institute of Information and Communication Technology,

India

2018 - 2020

(2 tahun)

B.tech Information Tecnology

Dharmsinh Desai Institute of Technology,

India

2013 - 2017

(4 tahun)

Penerbitan

IRNLP_DAIICT@DravidianLangTech-EACL2021:Offensive Language identification in Dravidian Languages

2021

This paper presents the participation of the IRNLPDAIICT team from the Information Retrieval and Natural Language Processing lab at DA-IICT, India in DravidianLangTech-EACL2021 Offensive Language identification in Dravidian Languages. https://www.aclweb.org/anthology/2021.dravidianlangtech-1.37/

Overview of the FIRE 2020 EDNIL track: Event Detection from News in Indian Languages

2020

The goal of FIRE 2020 EDNIL track was to create a framework which could be used to detect events from news articles in English, Hindi, Bengali, Marathi and Tamil. The track consisted of two tasks:(i) Identifying a piece of text from news articles that contains an event (Event Identification).(ii) Creating an event frame from the news article (Event Frame Extraction).

IRNLP_DAIICT@LT-EDI-EACL2021: Hope Speech detection in Code Mixed text using TF-IDF & MuRIL

2021

This paper presents the participation of the IRNLP_DAIICT team from the Information Retrieval and Natural Language Processing lab at DA-IICT, India in LT-EDI@EACL2021 Hope Speech Detection task. https://www.aclweb.org/anthology/2021.ltedi-1.15/

FIRE 2020 EDNIL Track: Event Detection from News in Indian Languages

FIRE 2020: Forum for Information Retrieval Evaluation

The goal of the FIRE 2020 EDNIL track was to create a framework that could be used to detect events from news articles in English, Hindi, Bengali, Marathi, and Tamil. The track consisted of two tasks: (I) Identifying a piece of text from news articles that contain an event(Event Identification). (ii) Creating an event frame from the news article (Event Frame Extraction). The events that were identified in the Event Identification task were Man-made Disasters and Natural disasters.

Query specific graph-based query reformulation using UMLS for clinical information access

Journal of Biomedical Informatics

This paper explores the usage and impact of UMLS for entity-based query reformulation in biomedical document retrieval. A novel graph-based approach for query reformulation using UMLS is described herein which queries are expanded using biomedical entities. The proposed method considers UMLS entities from a query with their related entities identified by UMLS and constructs a query-specific graph of biomedical entities for term selection.