Venture capital horizon scanning

Private Equity firms need to rely on larger and more diverse sources of data in order to make risk-aware investment decisions. Persons involved with making the investment decisions need tools that allow them to gain insight from such vast quantities of data. One part of that whole system is trying t...

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Main Author: Singapuri, Bhargav Piyushkumar
Other Authors: Lee Bu Sung, Francis
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/165811
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1658112023-04-14T15:37:32Z Venture capital horizon scanning Singapuri, Bhargav Piyushkumar Lee Bu Sung, Francis School of Computer Science and Engineering Vertex Venture Management Private Limited EBSLEE@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Private Equity firms need to rely on larger and more diverse sources of data in order to make risk-aware investment decisions. Persons involved with making the investment decisions need tools that allow them to gain insight from such vast quantities of data. One part of that whole system is trying to understand what industry the company they are seeking to invest in are from and their specialities and characteristics. This Project fine tunes a Large Language Model to classify companies into their industries based on the description of the company. It is trained on data acquired from LinkedIn of over 64 million companies. It achieves a F1 score of 0.7101 and a Top-5 Accuracy of 88.83%. Bachelor of Science in Data Science and Artificial Intelligence 2023-04-12T08:35:13Z 2023-04-12T08:35:13Z 2023 Final Year Project (FYP) Singapuri, B. P. (2023). Venture capital horizon scanning. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/165811 https://hdl.handle.net/10356/165811 en SCSE22-0633 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
spellingShingle Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Singapuri, Bhargav Piyushkumar
Venture capital horizon scanning
description Private Equity firms need to rely on larger and more diverse sources of data in order to make risk-aware investment decisions. Persons involved with making the investment decisions need tools that allow them to gain insight from such vast quantities of data. One part of that whole system is trying to understand what industry the company they are seeking to invest in are from and their specialities and characteristics. This Project fine tunes a Large Language Model to classify companies into their industries based on the description of the company. It is trained on data acquired from LinkedIn of over 64 million companies. It achieves a F1 score of 0.7101 and a Top-5 Accuracy of 88.83%.
author2 Lee Bu Sung, Francis
author_facet Lee Bu Sung, Francis
Singapuri, Bhargav Piyushkumar
format Final Year Project
author Singapuri, Bhargav Piyushkumar
author_sort Singapuri, Bhargav Piyushkumar
title Venture capital horizon scanning
title_short Venture capital horizon scanning
title_full Venture capital horizon scanning
title_fullStr Venture capital horizon scanning
title_full_unstemmed Venture capital horizon scanning
title_sort venture capital horizon scanning
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/165811
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