Before implementing sentiment analysis in your business, it's helpful to develop a bit of an idea on the basics. Essentially, sentiment analysis is the extracting the genuine emotion of people from a single or collection of text using Artificial Intelligence.
For instance, even midsize businesses generate large volumes of text data. These exist in the form of Facebook comments, review posts, emails, messages to customer services, and others.
Natural language processing tools implement Machine learning technologies to scan these piles of text. Consequently, the tools come up with reports that accurately define the customers' attitudes (positives, negatives, and scores) towards specific aspects of the company's service. This helps owners get past personal biases about their businesses.
How Does Sentiment Analysis Work?
Collect Amazon Reviews as Data Source
Amazon uses sentiment analysis to comprehend the underlying emotion of the people behind the text. These include emails, blog posts, reviews, comments, and others. The analysis yields insights that sellers on amazon can use to enhance their products and services.
Natural Language Processing Technologies Carries Out the Task of Sentiment Analysis
The first phase is pre-processing where the keyword is identified. This helps sentiment analysis acquire the gist of the text. Then the process rids the text of all kinds of ornaments. This helps the NLP evaluate the keyword better and finally assign a sentiment score.
Leveraging the Power of AI and ChatGPT
Using advanced AI technologies such as chatGPT will allow for more detailed sentiment analysis and obtain recommendations and conclusions.We offers a full suite of sentiment analysis solutions based on ChatGPT.
Everything You Need for The Best VOC & Product Research Experience
Sentiment Analysis
Review original sentiment and keyword extraction
Competitive Analysis
Asins comparison, brands comparison
Customer Analytics - Customer Profile
Who、When、Where、What
Customer Analytics -Expectations
Understand customers need for prioritizing what to build next.
Product Research
Product NR&PR Features、Buyers Motivation
Amazon Reviews Export/ Analysis
Free, Stable, Fast. Include Image and Videos
Owner
Lois
When I wanted to join the pet industry, Shulex made it easy for me to differentiate between competitors and understand buyers motivations. It was a helpful tool on my journey into this fun field!
Marketing Manager
DaDa
When analyzing the usage scenario of fitness equipment, we noticed working out with wife and children was gradually increasing.So we highlight these features in listing and get 15% boost in sales.
Product Manager
Joy
We wanted to spruce up our line of smart doorbells last winter. Through consumer expectations, it was clear that the night vision function was mentioned most, which determined our R&D priority.
Product Manager
Frank
With the powerful tool, we noticed a dissatisfaction level of 51% in charging speed when analyzing the reviews of chargers. Product improvement on the charger led to star ratings from 4.3 to 4.7.
Customer Service
Skylar
Taking time to read consumer reviews is an essential part of daily life. Shulex makes it easier by quickly identifying critical keywords and assessing the sentiment behind them!
Product Manager
Sam
Instead of scrolling through millions of reviews on Amazon, now I can download customer reviews in just few seconds include image and videos. Fast and stable.
Sentiment Analysis
Review original sentiment and keyword extraction
Competitive Analysis
Asins comparison, brands comparison
Customer Analytics - Customer Profile
Who、When、Where、What
Customer Analytics -Expectations
Understand customers need for prioritizing what to build next.