Quantitative Sentiment Analysis of Lyrics in Popular Music

2018 ◽  
Vol 30 (4) ◽  
pp. 161-176 ◽  
Author(s):  
Kathleen Napier ◽  
Lior Shamir
Keyword(s):  
Quantitative Analysis ◽  
Popular Music ◽  
Sentiment Analysis ◽  
Music Composition ◽  
Digital Humanities ◽  
Data Science ◽  
Pop Music ◽  
Science Approach ◽  
Song Lyrics ◽  
Negative Tone

Popular music has been changing significantly over the years, revealing clear, audible differences when compared with songs written in other eras. A pop music composition is normally made of two parts—the tune and the lyrics. Here we use a digital humanities and data science approach to examine how lyrics changed between the 1950’s and the more recent years, and apply quantitative analysis to measure these changes. To identify possible differences, we analyzed the sentiments expressed in the songs of the Billboard Hot 100, which reflects the preferences of popular music listeners and fans in each year. Automatic sentiment analysis of 6,150 Billboard 100 songs covering all the years from 1951 through 2016 shows clear and statistically significant changes in sentiments expressed through the lyrics of popular music, generally towards a more negative tone. The results show that anger, disgust, fear, sadness, and conscientiousness have increased significantly, while joy, confidence, and openness expressed in pop song lyrics have declined.

Musical Emergence in Björk's Medúlla

2011 ◽  
Vol 136 (1) ◽  
pp. 141-180 ◽  
Author(s):  
Victoria Malawey
Keyword(s):  
Popular Music ◽  
Pop Music ◽  
New Combinations ◽  
Song Lyrics

Björk's 2004 album Medúlla offers listeners radical and new combinations of vocal sounds in pop music. The album features emergent processes ranging from textural emergence, as in standard pop-rock formulas for song introductions, to less common emergent and transformative processes involving metrical, tonal, motivic and phrasal structure. When such processes involving different parameters are combined, other (non-emergent) processes recede to the background, and the effect of emergence assumes a fundamental role over the course of the composition as a whole. Recognizing emergent processes opens up connections with song lyrics and possibly also extra-musical narratives which can enrich our analytical understanding and ultimately our listening experiences of these songs. Furthermore, Medúlla models ways in which other contemporary songwriters could develop sophisticated emergent processes that disturb conventional understandings of popular music as simplistic and formulaic.

scholarly journals The Use of Foul Language in Pop Music Composition in Nigeria: A Historical Analysis

2021 ◽  
Vol 13 (3) ◽  
Author(s):  
Nnanyelugo Emelda Chinasa ◽  
◽  
Onyeke Blessing Uzoamaka ◽  
Izuchukwu John Ewulu ◽  
◽  
...  
Keyword(s):  
Popular Music ◽  
21St Century ◽  
Cultural Policy ◽  
Music Composition ◽  
Historical Analysis ◽  
Musical Composition ◽  
Pop Music ◽  
The Government ◽  
The Ideal

The background and exposure of music artistes contribute a lot in shaping the quality of songs they compose and produce. Since the 21st century, there has been a great departure in what used to be the ideal choice of words for musical composition and productions in Nigeria, especially in the popular music spheres. Hitherto, musicians of all genres were careful in their choice of words; but regrettably, the decent use of language is fast disappearing especially in dance hall and emotional songs. This stems from the cultural shack on the part of the artistes especially in the influence of the environment. It is this inherent lacuna that this paper seeks to address but most importantly the paper recommends a cultural policy for the government and as well as the need to checkmate and regulate the brands of music by periodically engaging DJs, radio presenters and other principal stakeholders in the entertainment industries.

scholarly journals Twitter Sentiment Analysis towards COVID-19 Vaccines in the Philippines Using Naïve Bayes

Information ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 204
Author(s):  
Charlyn Villavicencio ◽  
Julio Jerison Macrohon ◽  
X. Alphonse Inbaraj ◽  
Jyh-Horng Jeng ◽  
Jer-Guang Hsieh
Keyword(s):  
Sentiment Analysis ◽  
Language Processing ◽  
Data Science ◽  
Naive Bayes ◽  
The Philippines ◽  
Naïve Bayes ◽  
Social Networking Site ◽  
Bayes Model ◽  
The Government ◽  
Processing Techniques

A year into the COVID-19 pandemic and one of the longest recorded lockdowns in the world, the Philippines received its first delivery of COVID-19 vaccines on 1 March 2021 through WHO’s COVAX initiative. A month into inoculation of all frontline health professionals and other priority groups, the authors of this study gathered data on the sentiment of Filipinos regarding the Philippine government’s efforts using the social networking site Twitter. Natural language processing techniques were applied to understand the general sentiment, which can help the government in analyzing their response. The sentiments were annotated and trained using the Naïve Bayes model to classify English and Filipino language tweets into positive, neutral, and negative polarities through the RapidMiner data science software. The results yielded an 81.77% accuracy, which outweighs the accuracy of recent sentiment analysis studies using Twitter data from the Philippines.

The Culture of the Sound Image in Prewar Japan

2020 ◽  
Keyword(s):  
Popular Music ◽  
Film Industry ◽  
Pop Music ◽  
Japanese Cinema ◽  
Electronic Sound ◽  
Recorded Sound ◽  
Sound Image ◽  
Visual Style ◽  
Sound Technology ◽  
Sound Culture

This collection of essays explores the development of electronic sound recording in Japanese cinema, radio, and popular music to illuminate the interrelationship of aesthetics, technology, and cultural modernity in prewar Japan. Putting the cinema at the center of a ‘culture of the sound image’, it restores complexity to a media transition that is often described simply as slow and reluctant. In that vibrant sound culture, the talkie was introduced on the radio before it could be heard in the cinema, and pop music adaptations substituted for musicals even as cinema musicians and live narrators resisted the introduction of recorded sound. Taken together, the essays show that the development of sound technology shaped the economic structure of the film industry and its labour practices, the intermedial relation between cinema, radio, and popular music, as well as the architecture of cinemas and the visual style of individual Japanese films and filmmakers.

Music video in its contexts: popular music and post-modernism in the 1980s

Popular Music ◽  
1988 ◽  
Vol 7 (3) ◽  
pp. 247-266 ◽  
Author(s):  
Will Straw
Keyword(s):  
Popular Music ◽  
Rock Music ◽  
Surrounding Rock ◽  
Music Video ◽  
Post Modernism ◽  
Song Lyrics ◽  
Music Experience ◽  
To Come ◽  
The Individual

Writing on music video has had two distinctive moments in its brief history. The first wave of treatments tended to come from the culture surrounding rock music and from those who were primarily interested in music video as something which produced effects on that music. Here, two claims were most common, and generally expressed in the terms and the contexts of rock journalism:(1) that music video had made ‘image’ more important than the experience of music itself, with effects which were to be feared (for example, the potential difficulties for artists with poor ‘images’, the risk that theatricality and spectacle would take precedence over intrinsically ‘musical’ values, etc.);(2) that music video would result in a diminishing of the interpretative liberty of the individual music listener, who would now have visual or narrative interpretations of song lyrics imposed on him/her, in what would amount to a semantic and affective impoverishment of the popular music experience.

scholarly journals Starting young: Multimodal gender presentation in children’s pop music

2019 ◽  
Author(s):  
Kate Maxwell
Keyword(s):  
Popular Music ◽  
School Age ◽  
Pop Music ◽  
Mixed Methods Approach ◽  
Music Competition ◽  
The Arts ◽  
Eurovision Song Contest ◽  
Gender Presentation ◽  
Background Context ◽  
Selection Of

A recent quantitative study (Smith, Choueiti, and Pieper 2018) demonstrates the hegemonic discrimination in today’s popular music scene, particularly but not exclusively in gender and race. This paper builds on that study, taking it not only into a multimodal dimension (where musical and visual performances are taken into account), but also extending it to children’s popular music, here defined as popular music performed by children for an audience and market primarily made up of children and their guardians.  The annual Norwegian popular music competition for children aged 8-15 Melodi Grand Prix Junior (MGP Jr) is the children’s equivalent of the adult competition to be Norway’s entry in the Eurovision Song Contest (ESC). It has been running since 2004, with 10 entries in each final, and those from 2007 onwards are available for public viewing on the national television channel’s website (tv.NRK.no). The resulting 130 songs thus provide a meaningful corpus from which to study current and recent multimodal gendered presentations of child performers.  Preliminary multimodal gender analyses (cf Maxwell and Mittner 2018) show that the performances are based around traditional gender binaries (i.e. boys and girls). While both presented genders sing, except for rare exceptions it is only boys who play instruments. This both complements and contrasts the study of the ESC (Isaksen forthcoming) which also shows a clear dominance of singing, particularly among female and female-presenting artists (including drag queens).  When these results from children’s pop music and from the ESC are set in relation to Smith, Choueiti, and Peiper 2018 in an interdisciplinary mixed methods approach, it is clear to see that the discrimination in the industry not only begins at a young age, it is also presented as normal, indeed attractive, to child viewers. This is borne out by the decreasing uptake of music tuition at Norwegian kulturskoler (the provider of state-sponsored lessons in the arts), particularly among school-age girls (Utdanningsdirektøret 2017).  In this paper I will present multimodal analyses of a selection of songs from MGP Jr in order to provide both examples of and exceptions to the norms shown by the statistics. In addition, an analysis of the (gendered) presentations of standard Norwegian instrument textbooks (cf Blix 2018) provides background context, with an emphasis on the gendered meanings that surround children in their everyday musical lives.  With thanks to Matilda Maxwell (age 11), aspiring instrumentalist, fan of MGP Jr, and research assistant. 

scholarly journals How is People's Awareness of “Biodiversity” Measured ?Using Sentiment Analysis and LDA Topic Modeling in the Twitter Discourse Space from 2010 to 2020

2021 ◽  
Author(s):  
Shimon Ohtani
Keyword(s):  
Sentiment Analysis ◽  
Topic Modeling ◽  
Data Science ◽  
Latent Dirichlet Allocation ◽  
Biological Diversity ◽  
Public Awareness ◽  
Convention On Biological Diversity ◽  
Emotion Lexicon ◽  
Aichi Biodiversity Targets ◽  
Do So

Abstract The importance of biodiversity conservation is gradually being recognized worldwide, and 2020 was the final year of the Aichi Biodiversity Targets formulated at the 10th Conference of the Parties to the Convention on Biological Diversity (COP10) in 2010. Unfortunately, the majority of the targets were assessed as unachievable. While it is essential to measure public awareness of biodiversity when setting the post-2020 targets, it is also a difficult task to propose a method to do so. This study provides a diachronic exploration of the discourse on “biodiversity” from 2010 to 2020, using Twitter posts, in combination with sentiment analysis and topic modeling, which are commonly used in data science. Through the aggregation and comparison of n-grams, the visualization of eight types of emotional tendencies using the NRC emotion lexicon, the construction of topic models using Latent Dirichlet allocation (LDA), and the qualitative analysis of tweet texts based on these models, I was able to classify and analyze unstructured tweets in a meaningful way. The results revealed the evolution of words used with “biodiversity” on Twitter over the past decade, the emotional tendencies behind the contexts in which “biodiversity” has been used, and the approximate content of tweet texts that have constituted topics with distinctive characteristics. While the search for people's awareness through SNS analysis still has many limitations, it is undeniable that important suggestions can be obtained. In order to further refine the research method, it will be essential to improve the skills of analysts and accumulate research examples as well as to advance data science.

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