Phrase search in documents using C# is a powerful technique that allows developers to efficiently locate and retrieve content based on specific phrases within indexed documents. This feature is particularly useful in applications that require precise document search capabilities, such as research tools, content management systems, and data analysis platforms. Using Search library, developers can implement how to search documents by phrases in C#. Unlike simple keyword searches, phrase search focuses on finding exact sequences of words, making it highly valuable for scenarios such as legal document analysis, academic research, or content indexing.
Steps to Phrase Search in Documents using C#
- Integrate the GroupDocs.Search for .NET library into your development environment for searching documents by phrases in C#
- Initialize an Index object, which will be responsible for managing the documents that you want to search through
- Add the documents from a folder into the index using Index.Add method
- To conduct a phrase search in text form, utilize a string query that specifies the exact phrase you wish to find using Index.Search method
- For a more flexible search, you can construct the phrase using individual word queries and combine them into a phrase search query using SearchQuery.CreateWordQuery method
To implement a phrase search C# example, you first need to create an Index object to manage and store the documents. Using the provided code, an Index is created in the specified folder, and documents from another folder are indexed for efficient retrieval. Once indexed, the phrase search can be conducted using either a text query or an object-based query. For instance, you can perform a basic phrase search using a string query like ’theory of relativity’, which directly searches for the exact phrase in the indexed documents. Alternatively, you can construct a more complex search using individual word queries and combine them into a phrase search query.
Code to Phrase Search in Documents using C#
| using GroupDocs.Search; | |
| using GroupDocs.Search.Results; | |
| namespace PhraseSearchinDocumentsUsingCSharp | |
| { | |
| internal class Program | |
| { | |
| static void Main(string[] args) | |
| { | |
| // Apply the license to remove the restrictions | |
| // imposed by the Search library | |
| License lic = new License(); | |
| lic.SetLicense(@"GroupDocs.Search.lic"); | |
| string indexFolder = @"d:\MyIndex\"; | |
| string documentsFolder = @"d:\MyDocuments\"; | |
| // Creating an index in the specified folder | |
| Index index = new Index(indexFolder); | |
| // Indexing documents from the specified folder | |
| index.Add(documentsFolder); | |
| // Search for the phrase 'theory of relativity' in text form | |
| string query1 = "\"theory of relativity\""; | |
| SearchResult result1 = index.Search(query1); | |
| // Search for the phrase 'theory of relativity' in object form | |
| SearchQuery word1 = SearchQuery.CreateWordQuery("theory"); | |
| SearchQuery word2 = SearchQuery.CreateWordQuery("of"); | |
| SearchQuery word3 = SearchQuery.CreateWordQuery("relativity"); | |
| SearchQuery query2 = SearchQuery.CreatePhraseSearchQuery(word1, word2, word3); | |
| SearchResult result2 = index.Search(query2); | |
| } | |
| } | |
| } |
The phrase search functionality in documents using C# offers an efficient way to locate specific content across indexed data. One of the standout benefits of this approach is its platform independence. Whether you’re developing for Windows, Mac, or Linux, the solution ensures consistent performance and compatibility across diverse environments. This flexibility allows developers to seamlessly perform phrase search in C#, integrating it into applications tailored to various operating systems and deployment scenarios. By leveraging this capability, you can build robust, scalable, and user-friendly solutions that meet a wide range of document search requirements.
Earlier, we published a comprehensive guide on exporting indexed documents to HTML using C#. For the full step-by-step tutorial, explore our detailed article on how to export indexed documents to HTML using C#.
