dimitramav/thesis-sentiment-analysis-in-tourism
This research aims to extract the general sentiment of visitors in Athens by exploiting tourism content based on online platforms
Aggregates reviews from Google Places, Twitter, and Foursquare APIs, then applies preprocessing (language detection, tokenization, stopword removal) followed by topic modeling with Gensim and dual sentiment analysis using VADER and scikit-learn classifiers. Converts coordinate-based location data to geographic districts via reverse geocoding (Nominatim/OpenStreetMap) and visualizes results across interactive maps, word clouds, and statistical plots using Folium, Seaborn, and Matplotlib.
No commits in the last 6 months.
Stars
10
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 23, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/dimitramav/thesis-sentiment-analysis-in-tourism"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
harshit-sh/topic-modeling-tripadv
Topic modeling of TripAdvisor hotel reviews
thomastrg/NLP_Clustering_OpenFoodFacts
NLP clustering project consists in clustering items thanks to textual data from the Open Food...
bhaskarranvirkar/Airbnb_Reviewer_Sentiment_Analysis
Big Data Analytics projects including clustering, sentiment analysis, and transfer learning...
AliMufeed/Hotel_Review_NLP
NLP Project for SDAIA T5 Data Science Bootcamp. This project consists of sentiment analysis for...
minas26902/Improving_Yelp_Ratings_with_ML
Our goal in this group project is to apply NLP and other features from Yelp reviews into a model...