You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
The implementation aims to harness the power of Watson's text classification capabilities by leveraging Stanford CoreNLP for natural language processing and Lucene.Net for text indexing and search.
DocClusterizer is a Java desktop application designed to analyze and cluster documents based on their content similarity. The application utilizes Lucene and Tika libraries to process various file extensions such as txt, pdf, docx, and pptx.
Using Apache Lucene to index documents in AP89 corpus, perform retrieval on TREC topics and evaluate the performance of retrieval algorithms using different evaluation metrics
spring-boot and indexing with hibernate-search. Hibernate Search will transparently index every entity persisted, updated, or removed through Hibernate Core. However, you have to trigger initial indexing to populate the Lucene index with the data already present in your database.
The web application is designed to provide advanced full-text search capabilities to its users. It leverages the powerful Lucene.Net search engine library to offer fast, accurate, and scalable search functionality.
Category : JavaEE Application - Desinging a search engine using Lucene 7.0.1 - Description :Designing a simple search engine over Granada University's web pages using Lucene core.