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Topic Modeling To Contextualize Event-Based Datasets

Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances on Resilient and Intelligent Cities, 2019
Colombia suffered civil conflict for over five decades resulting in thousands of deaths and kidnappings and millions of displaced citizens. A peace process between the government and the Revolutionary Armed Forces of Colombia (FARC) was negotiated in 2016.
Ashlynn R. Daughton   +3 more
openaire   +1 more source

Topic-Constrained Hierarchical Clustering for Document Datasets

2010
In this paper, we propose the topic-constrained hierarchical clustering, which organizes document datasets into hierarchical trees consistant with a given set of topics. The proposed algorithm is based on a constrained agglomerative clustering framework and a semi-supervised criterion function that emphasizes the relationship between documents and ...
openaire   +1 more source

A Topic Detection Method for high dimensional datasets.

2014
Topics extraction from documents has become increasingly important due to its effectiveness in many tasks, including information retrieval, information filtering and organization of document collections in digital libraries. The Topic Detection consists to find the most significant topics within a document corpus.
AMATO, FLORA   +2 more
openaire   +3 more sources

LDA Topic Modeling Based Dataset Dependency Matrix Prediction

2019
Classification of text based datasets has many applications in the field of Computer Science. Some of the key application areas include scientific article recommendation, news article tagging, multimedia content search assistance, etc. We are interested in the problem of data placement of text based datasets in a distributed storage system. Distributed
Hindol Bhattacharya   +3 more
openaire   +1 more source

Topic Modeling in the ENRON Dataset

2022
Naciye Celebi, Narasimha K. Shashidhar
openaire   +1 more source

Topic Detection in Domain Text Dataset: An FCA-Based Approach

Journal of Circuits, Systems and Computers
Text data contain a large amount of useful information, and various domain texts obtained after text data classification are the main body of text data research. Domain text data share a common domain background, so the topics in a domain have more overlap and finer differences.
Fugang Wang   +3 more
openaire   +1 more source

ConvAI Dataset of Topic-Oriented Human-to-Chatbot Dialogues

2018
This paper contains the description and the analysis of the dataset collected during the Conversational Intelligence Challenge (ConvAI) which took place in 2017. During the evaluation round we collected over 4,000 dialogues from 10 chatbots and 1,000 volunteers.
Varvara Logacheva   +4 more
openaire   +1 more source

The Evolution of Topic Modeling

ACM Computing Surveys, 2022
Robert Churchill, Lisa Singh
exaly  

DeepPavlov Topics: Topic Classification Dataset for Conversational Domain in English

2022
Beksultan Sagyndyk   +2 more
openaire   +1 more source

Identifying Topic Modeling Technique in Evaluating Textual Datasets

2023
Nik Siti Madihah Nik Mangsor   +3 more
openaire   +1 more source

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