window.onload event is a very useful event when you are dealing with huge files like images, video etc. on the frontend.

It called when the entire page load including images, CSS, DOM etc.

window.onload = function(){
console.log("Application Loaded")
}

Using Javascript Camera API you can access the device’s front and back camera from your Static HTML page. It doesn’t require any library or module to be installed. you can do this by just writing a small code. Will explain step by step.

First, you have to add a html5 video tag to your index.html

<video id="video"></video>
if(navigator && navigator.mediaDevices){
//Your browser is supporting camera API.
}else{
console.log("camera API is not supported by your browser")
}


when it come to the concept of “this” in the Functions it create some confusion to me in terms of how it is different when it used within the Arrow Function and when it used within the Regular Function.

So in this article I am going to share some of the differences of the Arrow and Regular functions in terms of “this” which I observed and understand.

Regular Function’s execution context is different so the behavior of “this ” depend upon how it called.

for example if a function fun1() is invoking normally then the value of this will point…


There are so many concepts related to AI are available in this world but we can’t differentiate it due to lag of our knowledge and its deep understanding.
I picked some of the technologies and giving a short description of it.
It help you to understand its differences and how it works.

Artificial Intelligence(AI)

Machine Learning(ML)


Natural Language processing is one on the hottest area in this IT world.

We have lots of the data but we can’t find the right way to analyze it and use it in meaningful manner.So the only approach in come into picture is Natural language processing. Using this feature we can analyze the text and analyze the sentences.
And when we will go for the discussion about the sentiment analysis, then without the natural language processing the sentiment analysis can’t be ok.
We have lots of the issues in the Sentiment analysis that are like Sarcasm, Ambiguous words etc. so we can achieve most of these type issue using the NLP.
I found on the web…


The sentiment analysis on twitter messages are based on these four steps

ACCESS: Access the twitter API.Poling limit 100-150 in single fetch. Use the API Authentication. I used the PHP authentication scheme
COLLECT: Streaming the API, but the problem was duplication of data.Solution: With the use of Since ID we schedule the data and getting every minute unique result
ANALYZE: We analyze the data using the MySql’s Natural search.We clean the data and remove all symbols and character and make the data in Alpha numeric format.And then use Solr to analyze the count of positive and negative words on the basis of our algorithms.
STORE: Finally update the polarity of the data in the database where all the tweets are saved. And generate the graph


opinion mining

Sentiment analysis is the opinions about specific entities. The decision making process of people is affected by the opinions formed by thought leaders and ordinary people. When we are going to buy a product online we search for review. Sentiment analysis is one of the hottest research areas in computer science.

Khan M. Tabish

I am a web developer - both front end developer / designer and backend programmer and passionate about new technologies.

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