The exact lines customers wrote, grouped by theme.
Quote mining pulls the recurring themes out of each rival's reviews and backs every one with quotes copied word for word from real customers. Filter by rival or by tone and read the actual language.
Every quote is checked to be an exact substring of a stored review before anything ships. A single mismatch fails the build. The model can group and rank, but it cannot put words in a customer's mouth.
“the staff almost throwing the receipt at me”— Suha Kim, 2★
“the café was packed, but that should never be an excuse for being rude to customers”— Suha Kim, 2★
“the coffee and croissants were worth the wait”— Julisa Caraballo, 5★
“their coffee beans are way too sour, or they simply don't clean their espresso machines often enough”— Barbara J, 1★
“they remember your usual, always with a smile and zero attitude”— valeri bolkvadze, 5★
“Staff mostly talking amongst themselves and seem to be less focused on the artistry”— Sophia Solivio, 3★
“vegan peanut butter cookie here is secretly one of the best cookies in Williamsburg by far”— Micki Pellerano, 5★
“It's a popular spot for remote work, so it can get crowded and hard to find a seat at times”— Valencia Lin, 5★
“one of the most disgusting espressos I've ever had in my life here”— Andres Rodriguez, 2★
A real verbatim quote mining on Café Grumpy’s competitors.