These sentiment shifts could be traced to specific events during the election. For instance, when the FBI decided not to recommend prosecution in Hillary’s email case, negative sentiment surged on Twitter. This example shows how sentiment analysis can be a strong indicator of early successes and ...
What is social media sentiment analysis?Benefits of social media sentiment analysisHow to conduct a social sentiment analysis in 4 stepsTop 3 sentiment analysis tools for analyzing social media5 Tips to improve your brand sentiment on social mediaHow do your followers and customers feel about you?
Sentiment analysis tools When choosing sentiment analysis technologies, bear in mind how you will use them. There are a number of options out there, from open-source solutions to in-built features within social listening tools. Some of them are limited in scope, while others are more powerful ...
What is social media sentiment analysis?Benefits of social media sentiment analysisHow to conduct a social sentiment analysis in 4 stepsTop 3 sentiment analysis tools for analyzing social media5 Tips to improve your brand sentiment on social mediaHow do your followers and customers feel about you?
Better Sentiment Analysis with sentiment.ai 5 Ways to Subset a Data Frame in R Self-documenting plots in ggplot2 How to write the first for loop in R How to Calculate a Cumulative Average in R Sponsors Recent Posts Predictive Analytics Models in R repoRter.nih: a convenient R interface to...
Sentiment analysis allows businesses to get into the minds of their customers. Learn how to apply sentiment analysis in various business use cases.
I want my chatbots to show the same level of empathy. And for that, the key ingredient is a sentiment analysis feature that helps the bot detect whether the user is happy or not. Or, in more technical terms, whether the sentences she is writing have a positive or a negative tone. It...
Applying machine learning to sentiment analysis Sentiment analysis dataset: Tons of good samples are half the battle The first step in sentiment analysis is obtaining a training dataset with annotations to tell your algorithm what’s positive or negative in there. Here, you have two options: To ...
Which data science skills are important ($50,000 increase in salary in 6-months) Markov Switching Multifractal (MSM) model using R package Dashboard Framework Part 2: Running Shiny in AWS Fargate with CDK Something to note when using the merge function in R Better Sentiment Analysis with...
Sentiment Analysis: How to Derive Prior Polarities from SentiWordNet, in: Proceedings of Empirical Methods in Natural Language Processing (EMNLP) 2013:1259–1269.Marco Guerini, Lorenzo Gatti, and Marco Turchi. Sentiment analysis: How to derive prior polarities from sentiwordnet. Proceedings of ...