Table 1.
Sample of Top 10 Noise and Sound-Related Keywords.
| Word | Category | Count |
|---|---|---|
| music | Music | 63211 |
| loud | Music | 54804 |
| noise | Music | 19457 |
| sound | Music | 17909 |
| listen | Music | 15822 |
| band | Music | 14655 |
| voice | Music | 12285 |
| hearing | Music | 11967 |
| tone | Music | 11013 |
| noisy | Music | 9835 |
Table 2.
Sample of Top 10 Noise and Sound-Related Keywords with Associated Machine Learning Weighted Scores.
| music | {‘Others’: 11.592811958462585, ‘Service’: 9.596015886826951, ‘Places’: 10.619032969841593, ‘Positive Adverb’: 14.60537838935852, ‘Negative Adverb’: 10.754070321718853, ‘Transaction’: 6.803990236918131, ‘Music’: 16.76947468519211, ‘Food’: 10.45361336072286} |
| loud | {‘Others’: 11.969111816555849, ‘Service’: 7.429783821105956, ‘Places’: 10.641481362856352, ‘Positive Adverb’: 12.429158091545105, ‘Negative Adverb’: 14.577030579249065, ‘Transaction’: 3.5794796546300245, ‘Music’: 19.740479618310925, ‘Food’: 9.910290837287905} |
| noise | {‘Others’: 9.822163983887316, ‘Service’: 7.620879888534545, ‘Places’: 11.341584278987003, ‘Positive Adverb’: 10.373921871185303, ‘Negative Adverb’: 10.907921155293783, ‘Transaction’: 4.679620854059856, ‘Music’: 18.601333419481914, ‘Food’: 6.956304530302684} |
| sound | {‘Others’: 12.311273107341693, ‘Service’: 9.335558457808059, ‘Places’: 10.659502249497635, ‘Positive Adverb’: 15.929065465927124, ‘Negative Adverb’: 12.538021763165792, ‘Transaction’: 6.179866409301758, ‘Music’: 19.8793967962265, ‘Food’: 9.294235348701475} |
| listen | {‘Others’: 13.46179250642365, ‘Service’: 9.019762385975232, ‘Places’: 9.470439470731295, ‘Positive Adverb’: 12.926123857498169, ‘Negative Adverb’: 13.644288261731466, ‘Transaction’: 5.557556927204132, ‘Music’: 14.73413089911143, ‘Food’: 8.488389293352764} |
| band | {‘Others’: 10.055490577922146, ‘Service’: 7.007454590363936, ‘Places’: 8.509954892672026, ‘Positive Adverb’: 11.781231880187988, ‘Negative Adverb’: 9.88798411687215, ‘Transaction’: 4.284815875689189, ‘Music’: 13.414122939109804, ‘Food’: 7.377782305081686} |
| voice | {‘Others’: 11.622585792167513, ‘Service’: 11.593473954634234, ‘Places’: 8.924857946542591, ‘Positive Adverb’: 13.42629075050354, ‘Negative Adverb’: 11.978808482487997, ‘Transaction’: 6.00959153175354, ‘Music’: 16.78564860423406, ‘Food’: 5.618024090925852} |
| hearing | {‘Others’: 11.584125261680756, ‘Service’: 8.727128245613791, ‘Places’: 9.297691088456375, ‘Positive Adverb’: 9.572535276412964, ‘Negative Adverb’: 11.196159839630125, ‘Transaction’: 8.286495145161947, ‘Music’: 11.86425906419754, ‘Food’: 6.5419449508190155} |
| tone | {‘Others’: 9.55057409697888, ‘Service’: 7.395883300087668, ‘Places’: 8.045093463017391, ‘Positive Adverb’: 11.710272550582886, ‘Negative Adverb’: 10.59697155157725, ‘Transaction’: 5.22025310198466, ‘Music’: 15.58264438311259, ‘Food’: 5.991086105505626} |
| noisy | {‘Others’: 8.432757817062674, ‘Service’: 7.351362358440051, ‘Places’: 10.852060391352726, ‘Positive Adverb’: 10.419877290725708, ‘Negative Adverb’: 11.660314718882242, ‘Transaction’: 3.4555312554041544, ‘Music’: 15.532896608114246, ‘Food’: 8.81338405609131} |
Figure 1.
Python Code that Extracts Sentences with Exact Keywords.
Figure 2.
VADER Sentiment Analysis Code Fragment.
Figure 3.
Keywords by Categories.
Figure 4.
Total Keyword Usage and Repetition by Categories.
Table 3.
Sample Distribution of Music/Noise Related Yelp Reviews with Associated Compound Scores.
| Sentences | Compound SA Score |
|---|---|
| I get it - it’s a bar, but it gets annoying when you have to constantly scream, WHAT??!! | -0.842 |
| Terrible amateur music and lousy service! | -0.784 |
| Unfortunately, they were playing at the worst sounding venue I have ever been to in my many years of seeing live music. | -0.6908 |
| Poor service for low customer volume. | -0.6369 |
| The venue is not that great for sound if there is live music. | -0.5096 |
| Well, it’s got character! It’s a bit of an odd duck, it’s part music venue, part restaurant, part dive bar, and part impromptu art studio. | -0.126 |
| The artist last night was a solo act, specializing in country covers. | 0 |
| As it turns out, they paired someone trained in belly dancing with a clean-cut guy playing covers on acoustic guitar. | 0.34 |
| Good music. | 0.4404 |
| They also book good live music in the evenings. | 0.4404 |
| Skylight Music Theatre, found in the Third Wards Broadway Theatre Center, offers some fantastic performances. | 0.5574 |
| We especially enjoy the after work happy hours with a bunch of friends from work -- great place for good drinks, good music and fun bartenders. | 0.9735 |
| Fun dive bar, lots of great music, awesome wait staff - enjoy for lunch, date night, night out with friends. | 0.9814 |
Table 4.
Average Compound Scores by Categories.
| Category | Average Compound Score |
|---|---|
| Place/Atmosphere | 30.96% |
| Music/Noise | 30.14% |
| Positive Words | 28.68% |
| Food | 28.29% |
| Service | 26.92% |
| Negative Words | 20.92% |
| Transactions | 20.18% |
Figure 5.
Scatter Plot Representation - Music and Noise (30.14% positive).
Figure 6.
Scatter Plot Representation - Place and Atmosphere (30.96% positive).
Figure 7.
Sentiment Analysis Average Scores by Categories.
Figure 8.
Sentiment Analysis Score Distribution by Category.