Tag: sentiment analysis

Advanced, Classification, NLP, Python, Technique, Text, Unstructured Data Leave a comment

Fine-Grained Sentiment Analysis of Smartphone Review

How to conduct fine-grained sentiment analysis: Approaches and Tools Data collection and preparation. For data collection, we scraped the top 100 smartphone reviews from Amazon using python, selenium, and beautifulsoup library. If you don’t know how to use python and beautifulsoup and request a library for web-scraping here is a quick tutorial. Selenium Python bindings provide a simple API to write functional/acceptance tests using Selenium WebDriver. Let’s begin coding    

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Business Analytics, Data Mining, Intermediate, Libraries, NLP, Programming, Python, Text, Unstructured Data Leave a comment

Text Mining hack: Subject Extraction made easy using Google API

Let’s do a simple exercise. You need to identify the subject and the sentiment in following sentences: Google is the best resource for any kind of information. I came across a fabulous knowledge portal – Analytics Vidhya Messi played well but Argentina still lost the match Opera is not the best browser Yes, like UAE will win the Cricket World Cup. Was this exercise simple? Even if this looks like a simple exercise, now imagine creating an algorithm to do this? How does that […]

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Classification, Intermediate, Machine Learning, NLP, Python, Supervised, Technique, Text, Unstructured Data Leave a comment

Ultimate guide to deal with Text Data (using Python) – for Data Scientists and Engineers

Introduction One of the biggest breakthroughs required for achieving any level of artificial intelligence is to have machines which can process text data. Thankfully, the amount of text data being generated in this universe has exploded exponentially in the last few years. It has become imperative for an organization to have a structure in place to mine actionable insights from the text being generated. From social media analytics to risk management and cybercrime protection, dealing with text data has never […]

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Classification, Machine Learning, NLP, Project, Python, Supervised, Text, Unstructured Data Leave a comment

Comprehensive Hands on Guide to Twitter Sentiment Analysis with dataset and code

Introduction Natural Language Processing (NLP) is a hotbed of research in data science these days and one of the most common applications of NLP is sentiment analysis. From opinion polls to creating entire marketing strategies, this domain has completely reshaped the way businesses work, which is why this is an area every data scientist must be familiar with. Thousands of text documents can be processed for sentiment (and other features including named entities, topics, themes, etc.) in seconds, compared to […]

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Advanced, Maths, NLP Leave a comment

Create a Pipeline to Perform Sentiment Analysis using NLP

This article was published as a part of the Data Science Blogathon. Overview Every basic fundamental and building block which is required for Sentiment Analysis. I’ve used an easy approach to explain all the basic concepts so that even a beginner reader would be able to get a thorough understanding of all the concepts. Topics: Preprocessing text, Vocabulary Corpus, Feature Extraction (Sparse Representation and Frequency Dictionary), Logistic Regression model for sentiment analysis.   Sentiment Analysis is a supervised Machine Learning […]

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Classification, Intermediate, Libraries, NLP, Programming, Python, Supervised, Text, Unstructured Data Leave a comment

Natural Language Processing for Beginners: Using TextBlob

Introduction Natural Language Processing (NLP) is an area of growing attention due to increasing number of applications like chatbots, machine translation etc. In some ways, the entire revolution of intelligent machines in based on the ability to understand and interact with humans. I have been exploring NLP for some time now.  My journey started with NLTK library in Python, which was the recommended library to get started at that time. NLTK is a perfect library for education and research, it becomes […]

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Big data, Business Analytics, Data Exploration, Intermediate, NLP, Project, R, Sports, Text, Unstructured Data Leave a comment

Who is the world cheering for? 2014 FIFA WC winner predicted using Twitter feed (in R)

Sports are filled with emotions! Cheering of audience, reactions to events on various media channels are some of the factors, which make a huge impact on the mind of the players. If people support you, your chances to win are greatly enhanced. Live example of this fact, are the statistics of Indian cricket team playing in India and abroad. The win rate of Indian cricket team in India is approximately twice the win rate abroad. Football is again a game driven largely by emotions. […]

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Data Science, Intermediate, Machine Learning, NLP, Project, R Leave a comment

Measuring Audience Sentiments about Movies using Twitter and Text Analytics

Introduction The practice of using analytics to measure movie’s success is not a new phenomenon. Most of these predictive models are based on structured data with input variables such as Cost of Production, Genre of the Movie, Actor, Director, Production House, Marketing expenditure, no of distribution platforms, etc. However, with the advent of social media platforms, young demographics, digital media and the increasing adoption of platforms like Twitter, Facebook, etc to express views and opinions. Social Media has become a […]

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Big data, Business Analytics, Intermediate, NLP, R, Technique, Text, Unstructured Data Leave a comment

Hacks to perform faster Text Mining in R

Introduction Data science demands versatility. Move away from your regular methods, challenge your ways of working, explore new ways of doing things more efficiently. On reminiscing about my old days, my initial years in data science, I had also got trapped by this devil of ‘complacency’. At one point, I was not challenging myself enough. I wasn’t  experimenting with the ways of doing work. I accepted the things as they were, until I realized ‘Complacency is a state of mind […]

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Advanced, Algorithm, Deep Learning, NLP, Resource, Technique Leave a comment

Must-Read Tutorial to Learn Sequence Modeling (deeplearning.ai Course #5)

Introduction The ability to predict what comes next in a sequence is fascinating. It’s one of the reasons I became interested in data science! Interestingly – human mind is really good at it, but that is not the case with machines. Given a mysterious plot in a book, the human brain will start creating outcomes. But, how to teach machines to do something similar? Thanks to Deep Learning – we can do lot more today than what was possible a […]

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