Survey Comment and Social Media Text Analysis
Open-ended survey answers and social posts hold the explanations your numbers lack. We analyse them for themes, sentiment and trends, and link the results back to your survey variables.
What this service covers
- Cleaning and de-duplicating survey comments and social posts
- Theme and topic discovery
- Sentiment and emotion by theme
- Linking text results to survey variables such as group, region or satisfaction score
- Trends over time, campaigns or events
- Hashtag, mention and phrase analysis for social media
- Reports with charts and representative quotations
Making open-ended answers usable
Open-ended questions are often ignored because they are time-consuming to read. We combine automated methods with manual review so that every comment is accounted for. Themes are checked against actual comments, and representative quotations bring the numbers to life.
Linking text to the survey
The real value appears when text results connect to the rest of the survey. For example, which themes appear among dissatisfied customers, or how comments differ by region. We merge text-derived variables into your dataset so they can be analysed with the usual statistics in survey data analysis.
Social media specifics
Social text is short, informal and full of slang, emoji and hashtags. We adapt cleaning accordingly, handle platform terms and focus on aggregated patterns instead of individual users. You are responsible for lawful collection and use; we advise on privacy-conscious practice.
Methods used
We use sentiment analysis, topic modelling, keyword analysis and, if you want human-quality coding, thematic analysis.
How the work runs
- You share survey exports or social data and your questions.
- We clean and explore the text.
- We analyse themes and sentiment and link them to variables.
- You receive a report with charts and quotations.
What you receive
- A cleaned and coded comment dataset
- Theme and sentiment results
- Text variables merged into your survey data
- Charts and trends
- Quotations organised by theme
Frequently asked questions
How many comments do I need?
Even a few hundred can be summarised well. Automated methods become more useful in the thousands.
Can you analyse social media for me?
Yes, from data you provide or have the right to use. We do not target individuals.
Can you combine this with numeric results?
Yes, text-derived variables can be analysed alongside survey scores.
Do you read every comment?
We review samples and edge cases manually to check the automated results.
Can you handle multiple languages?
Where we can read them, or from translations.
Is it anonymous?
We recommend removing identifiers before sharing data and report only aggregated findings.
Related nlp & text analytics services
Sentiment Analysis
Positive, negative and neutral sentiment for reviews, comments and posts.
Topic Modelling
Discover themes in large text collections using LDA, NMF or BERTopic.
Keyword & Word Frequency Analysis
Text cleaning, n-grams, keywords in context and word clouds.
NLP & Text Analytics Services
See every text analytics service we offer.
Also related: Likert scale analysis · sentiment checker
