Home » Archive

Articles Archive for May 2018

Javascript »

[29 May 2018 | Comments Off on Javascript: Array & Loop]

This is a beginner tutorial on working with Javascript arrays and looping through them.
Javascript Array is a list-like object. It is used to store multiple values in a single variable.
This article deals with creating a Javascript array and using different functions on the array. We also see how we can loop through the arrays and get the values.

Machine Learning, Natural Language Processing (NLP), Python, Sentiment Analysis, Twitter »

[22 May 2018 | Comments Off on Python: Twitter Sentiment Analysis on Real Time Tweets using TextBlob]

This article shows how you can perform Sentiment Analysis on Twitter Real-Time Tweets Data using Python and TextBlob.
I have written one article on similar topic on Sentiment Analysis on Tweets using TextBlob. In that article, I had written on using TextBlob and Sentiment Analysis using the NLTK’s Twitter Corpus.

Machine Learning, Natural Language Processing (NLP), Sentiment Analysis, Twitter »

[15 May 2018 | Comments Off on Python: Twitter Sentiment Analysis using TextBlob]

This article shows how you can perform Sentiment Analysis on Twitter Tweet Data using Python and TextBlob.
TextBlob provides an API that can perform different Natural Language Processing (NLP) tasks like Part-of-Speech Tagging, Noun Phrase Extraction, Sentiment Analysis, Classification (Naive Bayes, Decision Tree), Language Translation and Detection, Spelling Correction, etc.

Twitter »

[8 May 2018 | Comments Off on Python: Get Twitter Tweets using ‘Get Old Tweets’ Package]

This article shows how you can get/fetch Tweets from Twitter API using a very useful Python package named “Get Old Tweets“.
You can perform different tasks using the GetOldTweets, like:

Twitter »

[2 May 2018 | Comments Off on Python: Get Twitter Tweets using Tweepy Library]

This article shows how you can get/fetch Tweets from Twitter API using a popular and easy to use Python Library named “Tweepy“.
You can perform different tasks using the Tweepy library like: