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From reviews to emotions: Analysing Bragança’s tourism attractions on TripAdvisor

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31 dic 2024

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Figure 1:

Word cloud in the pre-processing.
Word cloud in the pre-processing.

Figure 2:

Pareto chart.
Pareto chart.

Figure 3:

Figure with three subgraphs with word cloud after processing.
Figure with three subgraphs with word cloud after processing.

Figure 4:

Figure with three subgraphs with word cloud after stemming processing.
Figure with three subgraphs with word cloud after stemming processing.

Reviews classification per attraction_

Attraction Negative Neutral Positive s
Castelo de Bragança 33 4 32 4.23 0.96
Aldeia do Rio de Onor 18 4 35 4.42 0.86
Domus Municipalis 11 1 3 3.73 1.03
Cidadela de Bragança 5 2 3 3.88 0.70
Igreja de Santa Maria 4 3 0 3.81 1.17
Centro de Arte Contemporânea Graça Morais 3 0 4 3.92 0.53
Igreja da Antiga Sé 4 3 0 3.87 0.53
Museu Ibérico da Máscara e do Traje 7 2 7 3.95 0.77
Museu do Abade de Baçal 3 1 3 3.96 1.15
Parque Natural de Montesinho 5 0 3 4.00 0.51
Centro Ciência Viva 2 1 6 4.02 1.39
Centro de Interpretação da Cultura Sefardita do Nordeste Transmontano 9 0 1 4.03 0.57
Galeria Georges Dussaud 0 0 3 4.05 0.00
Museu Militar de Bragança 9 3 9 4.04 1.20

Metrics report_

Unigram Prediction Model
Precision Recall F1-score Support
Negative 0.48 0.50 0.49 114
Neutral 0.00 0.00 0.00 24
Positive 0.52 0.58 0.55 112
Accuracy 0.49 250
Macro average 0.33 0.36 0.35 250
Weighted average 0.45 0.49 0.47 250
Bigrated Prediction Model
Negative 0.49 0.40 0.44 114
Neutral 0.18 0.17 0.17 24
Positive 0.51 0.61 0.55 112
Accuracy 0.47 250
Macro average 0.39 0.39 0.39 250
Weighted average 0.47 0.47 0.47 250

Stop words’ frequencies_

Word n
De 466
E 361
A 305
Que 184
O 169
É 163
Um 148
Uma 147
Muito 145
Com 135

Calculation of accuracy, precision, and recall_

Unigram Prediction Model
Predicted Negative Neutral Positive All
Real
Negative 57 3 54 114
Neutral 17 0 7 24
Positive 44 3 65 112
All 118 0 126 250
Bigrated Prediction Model
Predicted Negative Neutral Positive All
Real
Negative 46 8 60 114
Neutral 14 4 6 24
Positive 34 10 68 112
All 94 22 134 250

Terms and their weights_

Negative Neutral Positive
Algum 0.63 Fech 0.50 portug 0.48
Atra 0.50 Prox 0.47 lind 0.46
regia 0.46 Jardim 0.45 espanh 0.45
nad 0.45 Extern 0.35 otim 0.43
dent 0.43 Enriquec 0.31 bom 0.43
igreja 0.42 Muit 0.31 pesso 0.40
portugu 0.42 Espac 0.29 bem 0.40
esper 0.40 Atenc 0.29 val 0.39
eur 0.39 Garant 0.28 lindiss 0.38
monument 0.38 Indicaca 0.28 alem 0.38

Sentiments’ classification_

Rating (1–5) Sentiment n
1–2 Negative 114
=3 Neutral 24
4–5 Positive 112
Total 250