Tag Search System Using the Keyword Extraction and Similarity Evaluation

Automatic keyword extraction using Latent Dirichlet Allocation topic modeling: Similarity with golden standard and users' evaluation

Purpose: This study investigates the automatic keyword extraction from the table of contents of Persian e-books in the field of science using LDA topic modeling, evaluating their similarity with golden standard, and users' viewpoints of the model keywords. Methodology: This is a mixed text-mining research in which LDA topic modeling is used to extract keywords from the table of contents of sci...

Keyword Extraction and Semantic Tag Prediction

Content on the web is often organized through user generated tags for intuitive search and retrieval. Such tags convey meta-information about the subject matter of the texts they represent. For this project, we applied machine learning (Bayesian co-occurrence, k-NN, SVM, NNS) to predict tags of StackExchange posts obtained from Kaggle: “Facebook Recruiting Keyword Extraction III.” Using our non...

The STC Keyword Search System for OpenKWS 2016 Evaluation

This paper describes the keyword search system developed by the STC team in the framework of OpenKWS 2016 evaluation. The acoustic modeling techniques included i-vectors based speaker adaptation, multilingual speaker-dependent bottleneck features, and a combination of feedforward and recurrent neural networks. To improve the language model, we augmented the training data provided by the organiz...

Relational Keyword Search System Using Fuzzy Type-Ahead Search

The search performance is one of major concern in any of search query method presented by different researchers. There are many methods already presented and for improving the search results performances still in this area continue working is going. One of the most commonly used method is autocomplete, which predicts a word or phrase that the user may type in based on the partial string the use...

Evaluation of the Keyword Extraction Task