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Using Topological Data Analysis for Text Classification
Title
Using Topological Data Analysis for Text Classification
Author
Doshi, Pratik
Date Created
2018
Subjects--Topical
Computer science
Description
I show that by applying discourse features derived through topological data analysis(TDA), namely homological persistence, we can improve classification results on thetask of movie genre detection, including identification of overlapping movie gen...
Towards Prediction of Emerging Technologies
Title
Towards Prediction of Emerging Technologies
Author
Thombare, Shalaka
Date Created
2018
Subjects--Topical
Artificial intelligence
Description
Predictive Analytics is an advanced branch of data analytics that deals with making future predictions that matter to the industry\cite{6}.It has wide applications in the areas of health care, fraud detection, market analysis, cross-sell. Predicti...
Topological Data Analysis in Text Processing
Title
Topological Data Analysis in Text Processing
Author
Gholizadeh, Shafie
Date Created
2020
Subjects--Topical
Computer science
Description
Topological Data Analysis denotes the set of algorithms and methods to define and retrieve the underlying structure of the shapes in the data. Utilizing topological inference in data mining and generally data science is recent, while computational...
Personalized Summarization with Shared Attention and Concept Spaces
Title
Personalized Summarization with Shared Attention and Concept Spaces
Author
Mehedint, Mihai
Date Created
2019
Subjects--Topical
Computer science
Description
The information available to users is overwhelming in today’s world. Therefore, it is essential to filter and convey only the essential information in a personalized fashion. We explored the automatic summarization of text as a means to address th...
Knowledge extraction and analysis of medical text with particular emphasis on medical guidelines
Title
Knowledge extraction and analysis of medical text with particular emphasis on medical guidelines
Author
Hematialam, Hossein
Date Created
2021
Subjects--Topical
Computer science
Description
In this dissertation document, we describe the potential for Information Extraction, Information Retrieval, and Machine Learning methods to improve the process of analyzing medical texts and, in particular, Clinical Practice Guidelines (CPGs).We p...
Investigating the causal link between the stock market and Twitter sentiments using causality models and deep learning methods
Title
Investigating the causal link between the stock market and Twitter sentiments using causality models and deep learning methods
Author
Seyeditabari, Narjessadat
Date Created
2018
Subjects--Topical
Computer science, Artificial intelligence
Description
An investment theory called the efficient market hypothesis (EMH) claims that it is impossible to outperform the market, and therefore, stocks always trade at a fair value. An important assumption of EMH is that all investors make decisions ration...
Interactive Document Retrieval
Title
Interactive Document Retrieval
Author
Borse, Chetan
Date Created
2017
Subjects--Topical
Computer science
Description
Traditional Information Retrieval systems present with vast, relevant information as a response to the user search query, which usually consists of different semantic groups. It is a tedious task to look through all the retrieved information, and ...
EXPERIMENTS IN TEXT SUMMARIZATION USING DEEP LEARNING
Title
EXPERIMENTS IN TEXT SUMMARIZATION USING DEEP LEARNING
Author
Bulusu, Sai Amrit
Date Created
2018
Subjects--Topical
Computer science, Artificial intelligence, Information science
Description
Deep Learning has been the go-to tool for text summarization in the recent times.Traditional deep learning research focuses on performing abstractive text summarizationwithout considering the user’s interests to personalize the summaries.This prob...
Detecting Discrete Emotions in Text Using Neural Networks
Title
Detecting Discrete Emotions in Text Using Neural Networks
Author
Seyeditabari, Seyed Armin
Date Created
2020
Subjects--Topical
Computer science, Artificial intelligence
Description
In recent years, emotion detection in text has become increasingly popular because of its many potential applications in a range of areas, such as marketing, political science, psychology, human-computer interaction, artificial intelligence. Acces...
Creating New Concept-based Representations for Superior Text Analysis and Retrieval
Title
Creating New Concept-based Representations for Superior Text Analysis and Retrieval
Author
Shalaby, Walid
Date Created
2018
Subjects--Topical
Computer science
Description
Text analytics represent a set of scalable techniques that mine unstructured and semi-structured textual resources in order to extract useful knowledge for performing a task at hand. For example, document clustering and classification, entity extr...
Building Computational Representations of Medical Guidelines Using Large Language Models and Transfer Learning
Title
Building Computational Representations of Medical Guidelines Using Large Language Models and Transfer Learning
Author
Gopalakrishnan, Seethalakshmi
Date Created
2023
Subjects--Topical
Computer science
Description
This dissertation explores the potential of natural language models, including large language models, to extract causal relations from medical texts, specifically from Clinical Practice Guidelines. The outcomes of causality extraction from Clinica...
BIOMEDICAL QUESTION ANSWERING
Title
BIOMEDICAL QUESTION ANSWERING
Author
Bhandwaldar, Abhishek
Date Created
2017
Subjects--Topical
Computer science
Description
A Biomedical Question Answering system allows biomedical experts to use unstructured knowledge in a more effective way. Our system can index vast majority of biomedical articles and can do information retrieval to find most relevant articles to an...