Lorenzo  Blanda

Lorenzo Blanda


Text Formatting in HTML - HTML Full Tutorial

How to format text in HTML.
In this lesson we’ll take a look at most of the elements that enable us to format the text in html, including some cool HTML5 elements. :-)

#html #web-development

What is GEEK

Buddha Community

Text Formatting in HTML - HTML Full Tutorial

I am Developer


Laravel 7 Full Text Search MySQL

Here, I will show you how to create full text search in laravel app. You just follow the below easy steps and create full text search with mysql db in laravel.

Laravel 7 Full Text Search Mysql

Let’s start laravel full-text search implementation in laravel 7, 6 versions:

  1. Step 1: Install Laravel New App
  2. Step 2: Configuration DB .evn file
  3. Step 3: Run Migration
  4. Step 4: Install Full Text Search Package
  5. Step 5: Add Fake Records in DB
  6. Step 6: Add Routes,
  7. Step 7: Create Controller
  8. Step 8: Create Blade View
  9. Step 9: Start Development Server


#laravel full text search mysql #laravel full text search query #mysql full text search in laravel #full text search in laravel 6 #full text search in laravel 7 #using full text search in laravel

ashika eliza


HTML - A Complete Guide to Master the Top Programming Language

In this era of technology, anything digital holds a prime significance in our day-to-day life. Hence, developers have submerged themselves to create a major impact using programming languages.According to Statista, HTML/CSS holds the second position (the first being Javascript), in the list of most widely-used programming languages globally (2020).Interested to learn this language? Then head on to this tutorial and get to know all about HTML! Plus we have added numerous examples such that you can learn better! So happy learning!
html for beginners

#html #html-for-beginners #html-tutorials #introduction-to-html #learn-html #tutorials-html

Hollie  Ratke

Hollie Ratke


Text Analysis Within a Full-Text Search Engine

Full-Text Search refers to techniques for searching text content within a document or a collection of documents that hold textual content. A Full-Text search engine examines all the textual content within documents as it tries to match a single search term or several terms, text analysis being a pivotal component.

You’ve probably heard of the most well-known Full-Text Search engine: Lucene with Elasticsearch built on top of it. Couchbase’s Full-Text Search (FTS) Engine is powered by Bleve, and this article will showcase the various ways to analyze text within this engine.

Bleve is an open-sourced text indexing and search library implemented in Go, developed in-house at Couchbase.

Couchbase’s FTS engine supports indexes that subscribe to data residing within a Couchbase Server and indexes data that it ingests from the server. It’s a distributed system – meaning it can partition data across multiple nodes in a cluster and searches involve scattering the request and gathering responses from across all nodes within the cluster before responding to the application.

The FTS engine distributes documents ingested for an index across a configurable number of partitions and these partitions could reside across multiple nodes within a cluster. Each partition follows the same set of rules that the FTS index is configured with – to analyze and index text into the full-text search database.

The text analysis component of a Full-Text search engine is responsible for breaking down the raw text into a list of words – which we’ll refer to as tokens. These tokens are more suitable for indexing in the database and searching.

Couchbase’s FTS Engine handles text indexing for JSON documents. It builds an index for the content that is analyzed and stores into the database – the index along with all the relevant metadata needed to link the tokens generated to the original documents within which they reside.

An Inverted index is the data structure chosen to index the tokens generated from text, to make search queries faster. This index links every token generated to documents that contain the token.

For example, take the following documents …

The inverted index for the tokens generated from the 2 documents above would resemble this…

Here’s a diagram highlighting the components of the full-text search engine …

A Text Analyzer

The components of a text analyzer can broadly be classified into 2 categories:

  • Tokenizer
  • Filters

Couchbase’s engine further categorizes filters into:

  • Character filters
  • Token filters

Before we dive into the function of each of these components, here’s an overview of a text analyzer …


A tokenizer is the first component to which the documents are subjected to. As the name suggests, it breaks the raw text into a list of tokens. This conversion will depend on a rule-set defined for the tokenizer.

Stock tokenizers…

Take this sample text for an example: “_this is my email ID: _abhi123@cb.com

A couple of configurable tokenizers…

  • Exception … This tokenizer allows the user to enter exception patterns (regular expressions) over the stock tokenizers.
  • Regexp … This tokenizer extracts text that matches the pattern (a regular expression) as tokens.

For example:

#json #couchbase #search #go #text analysis #full-text search #bleve #full-text #full-text-indexing

Alisha  Larkin

Alisha Larkin


HTML Tutorial For Beginners

The prospect of learning HTML can seem confusing at first: where to begin, what to learn, the best ways to learn — it can be difficult to get started. In this article, we’ll explore the best ways for learning HTML to assist you on your programming journey.

What is HTML?

Hypertext Markup Language (HTML) is the standard markup language for documents meant to be displayed in a web browser. Along with Cascading Style Sheets (CSS) and JavaScript, HTML completes the trio of essential tools used in creating modern web documents.

HTML provides the structure of a webpage, from the header and footer sections to paragraphs of text, videos, and images. CSS allows you to set the visual properties of different HTML elements, like changing colors, setting the order of blocks on the screen, and defining which elements to display. JavaScript automates changes to HTML and CSS, for example, making the font larger in a paragraph when a user clicks a button on the page.

#html #html-css #html-fundamentals #learning-html #html-css-basics #html-templates

Matteo Namoti

Matteo Namoti


Learn Text Formatting in HTML

HTML Formatting basically refers to the enhancing of text in order to increase the visual appeal. HTML provides a range of formatting tags that can be used to make the text attractive to the users. There are many options available that can be used for formatting, just like any other text editor.

HTML Formatting tags

HTML Formatting Tags

There are two types of HTML tags:

  • Physical tags- These tags provide a visual appeal to the document. For example, bold, italic, underlined, etc.
  • Logical tags- These tags provide a logical meaning to the text. For example, the tag.

Formatting Text in HTML

Now, we shall discuss some of the major formatting text in HTML.

1. HTML Headings

HTML headings range from 1 to 6. The heading defined within 

 is the more important i.e. larger font-size and font-weight whereas 

 is the least important i.e. least font-size. These headings can be judiciously used to format the text.

<h1>DataFlair Heading 1</h1>
<h2>DataFlair Heading 2</h2>
<h3>DataFlair Heading 3</h3>
<h4>DataFlair Heading 4</h4>
<h5>DataFlair Heading 5</h5>
<h6>DataFlair Heading 6</h6>


html heading tag

2. HTML Bold text

This is defined by the  tag. This is a physical tag which is used to display the text in Bold. For example,

 <!DOCTYPE html>
<p><b>Welcome to DataFlair!</b></p>


html strong tag

3. HTML Strong Element

It displays the content in a manner such that it appears as important.

  <!DOCTYPE html>
<p><strong>Welcome to DataFlair!</strong></p>


html bold tag

#html tutorials #html formatting #html