Examples of data preprocessing
| Reviewed text | Preprocessed text |
|---|---|
| Rude people. Do not stay, despite the fact cool hotel, the place sucks, rudest people, are disappointed | “rude”, “people”, “stay”, “despite”, “fact”, “cool”, “hotel”, “place”, “suck”, “rude”, “people”, “disappointed” |
| Great location, jr. suite is great, clean comfortable, close pike. Market in walking distance, breakfast nice and fresh | “great”, “location”, “jr”, “suite”, “great”, “clean”, “comfortable”, “close”, “pike”, “market”, “walking”, “distance”, “breakfast”, “nice”, “fresh” |
| Enjoyed the hotel. Location and service costs are excellent, good room. Recommend | “enjoy”, “hotel”, “location”, “service”, “cost”, “excellent”, “good”, “room”, “recommend” |
| Reviewed text | Preprocessed text |
|---|---|
| Rude people. Do not stay, despite the fact cool hotel, the place sucks, rudest people, are disappointed | “rude”, “people”, “stay”, “despite”, “fact”, “cool”, “hotel”, “place”, “suck”, “rude”, “people”, “disappointed” |
| Great location, jr. suite is great, clean comfortable, close pike. Market in walking distance, breakfast nice and fresh | “great”, “location”, “jr”, “suite”, “great”, “clean”, “comfortable”, “close”, “pike”, “market”, “walking”, “distance”, “breakfast”, “nice”, “fresh” |
| Enjoyed the hotel. Location and service costs are excellent, good room. Recommend | “enjoy”, “hotel”, “location”, “service”, “cost”, “excellent”, “good”, “room”, “recommend” |
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