Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 7575 for “"TOPIC"”.
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TOPIC SENSITIVE BELIEF REVISION
… to the new information. One kind of relevance, topicality, is interesting for two reasons: First, topicality tends to be strongly encapsulating, e.g., we shouldn't make any off-topic changes. Second, topicality tends to be weaker than strict relevance. Consider a panel of three papers on the …
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Exploring undergraduate students’ topic interest, topic knowledge, and attitudes regarding harmful algal blooms
… <p>This study looked at undergraduate students’ topic interest, topic knowledge, and attitudes regarding HABs. The sample population for this study consisted of n=212 participants; n=50 were science majors and n=157 were non-science majors. Quantitative data were gathered from participants’ …
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Human-competitive automatic topic indexing
Topic indexing is the task of identifying the main topics covered by a document. These are useful for many purposes: as subject headings in libraries, as keywords in academic publications and as tags on the web. Knowing a document's topics helps people judge its relevance quickly. However, …
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Topic modeling in game reviews
… game reviews for Elden Ring were analyzed for topic modelling using Latent Dirichlet Allocation (LDA), Bidirectional Encoder Representations from Transformers (BERT), and a hybrid model combining both to identify effective methods for extracting underlying themes in player feedback. We analyzed …
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Clustering based causal topic mining
… timestamped document collection in the form of topics that cause a change in a time-series. We develop a conceptual framework for that can be used to analyze different causal topic mining algorithms. We also propose two novel clustering based algorithms - cCTM-CF and cCTM-CoF to generate causal …
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Topic detection through statistical methods
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.
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On the Topic of Portfolio Optimization
This dissertation explores the use of information entropy as a risk measure for the purpose of investment portfolio optimization and selection. First, we present an improved method of applying entropy as a risk in portfolio optimization. A new family of portfolio optimization problems called the …
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Improving Topic Tracking with Domain Chaining
Topic Detection and Tracking (TDT) research has produced some successful statistical tracking systems. While lexical chaining, a non-statistical approach, has also been applied to the task of tracking by Carthy and Stokes for the 2001 TDT evaluation, an efficient tracking system based on this …
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TOPIC CONTINUITY FOR DISCOURSE AND DIALOGUES
Topic continuity, one of the major linguistic devices for text cohesion, plays important roles in multi-sentential scenario. It integrates multiple sentences into a holistic unit | e.g., a cohesive paragraph or a uent dialogue | distinguishing them from a set of random sentences. In this thesis, we …
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Topic specific spider for taxonomic documents
The overall goal of the project being developed at KU as a part of SEEK is to provide an interface tool for a taxonomist through which he/she can obtain taxonomic revisions depending for the species provided to the system. This thesis, in particular, aims to develop a subsystem that collects …
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Topic models for short text data
Topic models are known to suffer from sparsity when applied to short text data. The problem is caused by a reduced number of observations available for a reliable inference (i.e.: the words in a document). A popular heuristic utilized to overcome this problem is to perform before training some form …
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Topic Identification from Spoken TED-Talks
Táto práca sa zaoberá problémom spracovania prirodzeného jazyka a následnej klasifikácie. Použité systémy boli modelované na TED-LIUM korpuse. Systém automatického spracovania jazyka bol modelovaný s použitím sady nástrojov Kaldi. Vo výsledku bol dosiahnutý WER s hodnotou 16.6\%. Problém …
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Visualizations for mental health topic models
… problems in their work flow. We believe topic modeling can provide automatic summaries of conversation text to augment note-taking and transcript-reading. Four simple and familiar visualizations were developed to present the model data: 1) a list of conversation topics, 2) a donut chart …
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Temporal Topic Embeddings with a Compass
… the CADE framework into the area of dynamic topic modeling (DTM), where temporal word2vec embeddings can be used to describe temporally and unsupervised evolving topics. It also seeks to improve upon the CADE framework through a theoretical and experimental exploration of compass parameters, …
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Multi-Modal Topic Sentiment Analytics for Twitter
… data as well as to discover hidden trends and topics (context) using topic modeling techniques like Latent Dirichlet Allocation (LDA). We have focused on the mismatch cases among multiple models in which different experts (models) have different opinions on social media sentiments. We have …
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Topic Modeling Location-Based Social Media Applications
<p>Topic modeling is a technique used in text analysis and mining across various research domains. The number of social media applications and users is increasing daily, and analyzing these data streams provides added value, relevance, and significance for both scholarly and practitioner …
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Unit organization of the topic, home safety
Thesis (Ed.M.)--Boston University, 1948. This item was digitized by the Internet Archive.
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Grammatical Effects of Topic and Focus Information
… in copular constructions are examined to see how topic and focus information are relevant in restricting sentence word order.
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Interpreting Chinese Zero Anaphors Within Topic Continuity
The Recovery Rules are not proposed to take the place of pragmatic information but intended to be an alternative theory for interpreting Chinese zero anaphors. They can be applied in teaching Chinese as a foreign language, and in translations between Chinese and other languages, such as English, in …
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Hierarchical topic map generation for exploratory browsing
… a novel model for automatically generate topic map for a document corpus with no supervision. We extend a previous approach to discovery of lexical relations from text data to construct a hierarchy of topics. Given a collection of documents, we will generate a set of topics on the fly …
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