Jan 1, 2007 · Topic identification is essential in connection within categorizing search applications, where several sets of documents are delivered and an expressive description for each category must be...

Jan 25, 2024 · In this article, you've learned about topic identification and how you can use it to extract themes or topics from a large document. We covered some different techniques you can use to identify topic including simple ones like BoW and more advanced ones like LDA and NMF.

May 10, 2019 · In this guide, you have learned about topic identification using the bag-of-words technique. You also got an introduction on LDA using a powerful open source NLP library 'gensim'. The performance of topic models is dependent on the terms present in the corpus, represented as document-term-matrix.

Topic modeling is a probabilistic model that identifies topics covered in text(s). In this paper, topics were loaded from two implementations of topic model-ing, namely, Latent Semantic Indexing (LSI) and Latent Dirichlet Allocation (LDA).

PDF | On Jun 25, 2019, Nasib Singh Gill and others published Review and Comparative Analysis of Topic Identification Techniques | Find, read and cite all the research you need on ResearchGate

Mar 2, 2018 · Existing methods of interdisciplinary topic identification have their respective application fields, and each identification result can help researchers acquire partial characteristics of interdisciplinary topics. This paper offers an integrated method for identifying and predicting interdisciplinary topics from scientific literature.

Using a review matrix enables you to quickly compare and contrast articles in order to determine the scope of research across time. A review matrix can help you more easily spot differences and similarities between journal articles about a research topic.

Mar 31, 2018 · The current chapter explains challenging task in identifying the most suitable way to establish a research topic. The work demonstrates how to follow a proper research methodology in information systems.

Aug 16, 2020 · Selection of a research topic is a challenge for students and professionals alike. This paper addresses those challenges by presenting some strategies based on existing body of knowledge and...

Mar 15, 2022 · Topic Identification is a method for identifying hidden subjects in enormous amounts of text. The Latent Dirichlet Allocation (LDA) technique is a common topic modeling algorithm that has great implementations in Python’s Gensim package.