Now, more than ever, it’s key for companies to pay close attention to the voice of customer (VoC) to improve their products.
Product managers need insights that will help them develop a robust product roadmap; it’s about providing customers with what they actually want, rather than with what businesses think they need.
That’s where sentiment analysis can help to:
Sentiment analysis is the automated process of understanding the sentiment or opinion of a given text. You can use it to automatically analyze product reviews and sort them by Positive, Neutral, Negative.
The best part. You can start analyzing your product reviews for sentiment right away with MonkeyLearn, a no-code platform that’s simple and quick to use.
Follow our guide, below, to learn how to run sentiment analysis on your product reviews.
This section provides a high-level explanation of how you can automatically gather your product reviews.
Product reviews are everywhere on the Internet. You might stumble upon your brand’s name on Capterra, G2Crowd, Siftery, Yelp, Amazon, and Google Play, just to name a few, so collecting data manually is probably out of the question.
Thankfully, the bleak days of copying and pasting are long gone. Web scraping can help to automate and streamline this whole process. Web scrapers are used to collect information from across the Internet. These tools simulate how people surf the web to gather specific data from different websites. In essence, they automatically find what you would otherwise have to copy and paste manually from any given website.
Generally speaking, web scraping tools can be grouped into two distinct categories:
Visual scrapers are specialized apps for building web scrapers with an easy-to-use, graphic user interface. To use these tools you don’t need to be a programmer or know how to code. Just follow the steps provided by each scraping tool to build your customized web scraper and you’ll be good to go.
Some of the best visual scraper tools include:
Now, if you are a developer or just happen to know how to code, you could use an open-source framework to build your own web scraping tool, and get product reviews from the web tailored to your needs.
These are some of the most used frameworks for web scraping:
In this step, you’ll learn how to automate product review analysis with MonkeyLearn's Templates. You can upload your data and our topic and sentiment machine learning models will do the rest. Templates are super simple to use and perfect for anyone who’s new to machine learning.
This user-friendly platform enables you to build your own sentiment analysis model without needing to know how to code or have experience in machine learning.
Here’s how it works:
If you don't have a CSV file you can use our sample dataset.
After you have uploaded your data you'll need to match the columns of your dataset to the right fields.
Here are the field you’ll need to match up:
Our data visualization dashboard allows you to display your results in convincing, striking detail.
This chart is much easier to understand (and it’s less tempting to scroll past the results). We can actually see them, not just read them. Visual tools can make communication easier and help you understand the results of your product review analysis.
This means you can make the most out of your sentiment analysis, and get the insights you’re looking for.
Generally, a single review has:
Dividing a full text into opinion units can simplify:
Machine models that have been trained to detect opinion units are much more precise when it comes to analyzing data. Why? Well, it’s a lot easier for a machine to understand a sentence with one sentiment, than it is to understand a sentence containing multiple sentiments.
Product teams often get caught up in day-to-day tasks and forget to listen to what the customer is saying. Sometimes, they don’t even receive product feedback because companies don’t have a feedback loop system in place.
However, once that data starts flowing in, you’ll want to make sure that you have the tools to analyze it in a fast, accurate, and cost-effective way.
Put sentiment analysis to work on your incoming reviews, 24/7, and gain instant insights from your customer data. Once you have the results, transform them into striking visualizations and share them with your team. You’ll no longer feel like you’re walking in the dark when it comes to creating a product roadmap
March 22nd, 2019