How can you extract insights from unstructured data sources like social media comments or customer reviews?

You have more data than you think. A good way to start is to collect incoming questions on social media, your website contact form and your mailbox about your business, products or services. If might take some copy-paste work, to get everything structured in a sheet, but this is marketing gold! With this info, you can create FAQ content and use it on your website to get better SEO results and help your potential clients find all the information about you.

To extract insights from unstructured data like social media comments or customer reviews: - Use natural language processing (NLP) tools to analyze text. - Identify sentiment, keywords, and common themes. - Look for trends and patterns in customer opinions. - Consider sentiment analysis, topic modeling, and word cloud generators. - Automate the process with AI-powered tools like IBM Watson or MonkeyLearn.

Additionally, categorize the comments/reviews into predefined categories. For example, classify reviews as "product quality," "customer service," or more.

The quick and dirty hack for this would be to just feed the comments in bulk to generative AI like ChatGPT and ask it for insights. You could possibly use the Advanced data analysis tool to feed the comments as table and then work with it.

Visuals are processed 60,000 times faster than text by the human brain - Domo, BambooHR. Use simple and clear visuals - Avoid using complex visuals that can be difficult to understand. Instead, opt for simple and clear visuals that are easy to scan and interpret. Use color and labels effectively - Use color to highlight important data points and use labels to explain the data. Avoid using too many colors, as this can make the visualization cluttered and difficult to read. Tell a story with your visuals - Use your visuals to tell a story about your data and to communicate your findings clearly and concisely. Some free tools I've used for data visualization are: - Google Charts - Datawrapper - Flourish - Infogram - Tableau Public

Tableau is great for data visualization purposes, it is super easy to experiment with the settings to manipulate data! I've also used Excel to create quick charts, graphs and reports. This year, I also discovered that Greenhouse creates charts that are informative and easy to present using data that has been plugged in.

Leveraging unstructured data from social media comments or customer reviews involves employing natural language processing (NLP) tools. NLP algorithms like sentiment analysis gauge emotions in textual data, discerning positive or negative tones. Topic modeling techniques identify prevalent themes, enabling businesses to address customer concerns effectively. Text mining and keyword analysis unveil patterns, helping extract actionable insights. Automated tools and machine learning algorithms streamline this process, enabling businesses to make informed decisions from unstructured data.