Text retrieval

Ebook Information storage and retrieval systems: Theory and Implementation (Second edition) includes contents: Chapter 1 introduction to information retrieval systems, chapter 2 information retrieval system capabilities, chapter 3 cataloging and indexing, chapter 4 data structure, chapter 5 automatic indexing, chapter 6 document and term clustering, chapter 7 user search techniques, chapter 8 information visualization, chapter 9 text search algorithms, chapter 10 multimedia information retrieval, chapter 11 information system evaluation.

333p haojiubujain08 01-11-2023 6 3   Download

Part 1 of ebook "Practical data analysis: Transform, model, and visualize your data through hands-on projects, developed in open source tools" provides readers with contents including: getting started; working with data; data visualization; text classification; similarity-based image retrieval; simulation of stock prices; predicting gold prices; working with support vector machines;...

173p tieulangtran 28-09-2023 3 1   Download

We explored how a deep learning (DL) approach based on hierarchical attention networks (HANs) can improve model performance for multiple information extraction tasks from unstructured cancer pathology reports compared to conventional methods that do not sufficiently capture syntactic and semantic contexts from free-text documents.

10p visteverogers 24-06-2023 3 2   Download

Concept normalization, the task of linking phrases in text to concepts in an ontology, is useful for many downstream tasks including relation extraction, information retrieval, etc. We present a generate-andrank concept normalization system based on our participation in the 2019 National NLP Clinical Challenges Shared Task Track 3 Concept Normalization.

10p vighostrider 25-05-2023 4 2   Download

presents the following content: Chapter 1: introduction; chapter 2: data, information, and knowledge; chapter 3: representation of information; chapter 4: attribute content and values; chapter 5: models of virtual data structure; chapter 6: the physical structure of data; chapter 7: querying the information retrieval system; chapter 8: interpretation and execution of query statements; chapter 9: text searching; chapter 10: system-computed relevance and ranking; chapter 11: search feedback and iteration; chapter 12: multi-database searching and mapping; chapter 13: search strategy; chapter 1...

391p runthenight08 12-04-2023 5 2   Download

This paper presents the findings of a study on cohesion in televised healthcare advertisements based on evidence from 50 video clips retrieved from American television channels. Thereby, it is hoped to help English learners improve their listening skills for English advertisements on television, especially televised healthcare advertisements.

5p vijaguar 16-11-2022 9 6   Download

Lecture Data mining: Lesson 22. The main topics covered in this chapter include: text and web search; text databases; information retrieval; basic measures for text retrieval; information retrieval techniques; full-text scanning; Tex - Detailed outline;... Please refer to the content of document.

87p tieuvulinhhoa 22-09-2022 5 4   Download

Information retrieval techniques: Lecture 42. The main topics covered in this chapter include: why probabilities in IR; document classification; Bayes’ rule for text classification; bernoulli random variables; smoothing function;... Please refer to the content of document.

23p tieuvulinhhoa 22-09-2022 7 4   Download

Information retrieval techniques: Lecture 36. The main topics covered in this chapter include: link analysis; hypertext and links; the web as a directed graph; anchor text; indexing anchor text; pagerank scoring;... Please refer to the content of document.

26p tieuvulinhhoa 22-09-2022 8 3   Download

This paper proposes a novel information retrieval framework that uses discourse processing techniques in aiding semantic analysis and representation of Tamil literary texts. The proposed framework was tested using two ancient literary works, the Thirukkural and Naladiyar, which were written in 300 Before the Common Era (BCE).

37p spiritedaway36 28-11-2021 9 2   Download

This study applies the text-mining methodology, aims to explore how urban image formed with which destination brand personalities. Based on online reviews retrieved from TripAdvisor, 12 traits related to four dimensions of Danang brand personalities is explored. These dimensions are sincerity, excitement, competence, and sophistication. The results show that excitement and competence are dominant personalities of Danang urban heritage image with the coverages are 6.31% and 2.86%, respectively. Some implications for city image promotion and further research also are suggested.

11p huyetthienthan 23-11-2021 14 4   Download

Information on protein-protein interactions affected by mutations is very useful for understanding the biological effect of mutations and for developing treatments targeting the interactions. In this study, we developed a natural language processing (NLP) based machine learning approach for extracting such information from literature.

10p vijeeni2711 30-06-2021 8 1   Download

After studying this chapter you will be able to understand: Dialog boxes in JavaScript, alert box, prompt box, confirm box, document object model (DOM), retrieving HTML elements, retrieving the text of an element, getting value of attributes, setting value of attributes.

46p larachdumlanat126 31-12-2020 21 4   Download

A popular query from scientists reading a biomedical abstract is to search for topic-related documents in bibliographic databases. Such a query is challenging because the amount of information attached to a single abstract is little, whereas classification-based retrieval algorithms are optimally trained with large sets of relevant documents.

12p viwyoming2711 16-12-2020 13 1   Download

This article provides an overview of the first BIOASQ challenge, a competition on large-scale biomedical semantic indexing and question answering (QA), which took place between March and September 2013. BIOASQ assesses the ability of systems to semantically index very large numbers of biomedical scientific articles, and to return concise and user-understandable answers to given natural language questions by combining information from biomedical articles and ontologies.

28p vikentucky2711 24-11-2020 15 1   Download

The rapid pace of bioscience research makes it very challenging to track relevant articles in one’s area of interest. MEDLINE, a primary source for biomedical literature, offers access to more than 20 million citations with three-quarters of a million new ones added each year.

11p vikentucky2711 24-11-2020 10 1   Download

Biomedical literature retrieval is becoming increasingly complex, and there is a fundamental need for advanced information retrieval systems. Information Retrieval (IR) programs scour unstructured materials such as text documents in large reserves of data that are usually stored on computers.

12p vioklahoma2711 19-11-2020 15 2   Download

The amount of scientific information about MicroRNAs (miRNAs) is growing exponentially, making it difficult for researchers to interpret experimental results. In this study, we present an automated text mining approach using Latent Semantic Indexing (LSI) for prioritization, clustering and functional annotation of miRNAs.

12p vioklahoma2711 19-11-2020 7 1   Download

The biomedical literature continues to grow at a rapid pace, making the challenge of knowledge retrieval and extraction ever greater. Tools that provide a means to search and mine the full text of literature thus represent an important way by which the efficiency of these processes can be improved.

16p viconnecticut2711 28-10-2020 9 1   Download

The retrieval of plant-related information is a challenging task due to variations in species name mentions as well as spelling or typographical errors across data sources. Scalable solutions are needed for identifying plant name mentions from text and resolving them to accepted taxonomic names.

4p vijisoo2711 27-10-2020 10 1   Download