SlideShare a Scribd company logo
1 | P a g e
Introduction
In thisprojectI have choose the topic “differentgenresof songs”andtriedtofindout withthe help
of qualitativedatawhichgenresof songsare intrendingandwhichtypesof songsmore like bythe
audiences.
Due to thisin the endof thisprojectwe are able to findoutwhichtypesof songstheyshouldinvest
more, and whichare not. Thisprojectalsohelpsthe variousYouTube channelswhichshouldthey
buythe rightsof the songs,and whichare not.
Overview of song industry
The IndianMusic Industry(IMI) isa trust that representsthe recordingindustry distributorsin India.
It was foundedonFebruary28,1936, as IndianPhonographicIndustry(IPI).Itisthe 2nd oldest music
industry organizationinthe worldthatwasinvolved inprotectingcopyrights of musicproducers and
supportinggrowthof musicentertainmentindustry.
The song industrycontinuouslyincreasinginIndia.The songindustryvalue in2007 is7.4 billonRs
and expectedto23 billionRstill 2023. In thisdynamic worldthe songindustryalsoincreasesvery
rapidlysothat there isalsoto do some researchonthat so that it worksveryeffective andefficient
manner.
About project
In thisprojectI am onlyconsideredthe Qualitative feedbackandtoreduce the error we are only
takenthe songsfrom the T-Serieschannel becauseof have same subscribersonthischannel.If we
2 | P a g e
take the songs fromthe differentchannels.The differentchannelhasdifferentsubscribersthathas
not giventhe accurate result.
I have alsotakenonlysongsthat has releasedwithinone yearbecause of if Itake the songfrom the
last2-3 years, I can’t be determinedthe currenttrendandoldvideohaslarge viewsascomparedto
currentlyreleasedsothatIhave make the window between 1monthto12 months.
Why have I onlychosenT-Serieschannel?
I have chosenonlyT-Serieschannelbecause itisnotonlythe largerchannel of Indiabutthe world.
Apart fromthat T-Serieshasmore than60% marketcap of thisIndustryandhighestnumberof rights
of songsthat’swhyI have chosenthat.
Types of songs considered
1. Sad song(rim-Jim)
2. Bollywoodsongs(Bhuj the pride of India)
3. Rap song(Locca)
4. Haryanvi song
Extraction of the data
I have extractedthe data from tool commentextractor.com.
Tool used:
Lexalytics
3 | P a g e
Analytics
Bhuj the pride of India
1
1
1
5
4
3
3
3
2
2
1
1
1
1
1
1
1
1
1
1
3
1
1
1
1
1
1
1
1
1
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
❤
love
top
good
beautiful
luck
supporting
favourite
friends
super
the best
great
💔
🥰
jb
4 | P a g e
6%
66%
28%
Bollywood song
negative
neutral
positive
Phrase negative neutral positive Grand Total
❤ 5 5
nice 4 1 5
love 3 3
best 3 3
top 3 3
heart 3 3
good 2 2
hearts 2 2
beautiful 1 1
poor 1 1
luck 1 1
happy 1 1
supporting 1 1
bless 1 1
favourite 1 1
verynice 1 1
friends 1 1
wonderful 1 1
super 1 1
� 1 1
the best 1 1
congratulations 1 1
great 1 1
kissing 1 1
💔 1 1
hundred 1 1
� 1 1
improve 1 1
jb 1 1
Grand Total 3 31 13 47
5 | P a g e
Rap song
Phrase negative neutral positive Grand Total
happy 6 2 8
love 4 4
❤ 3 1 4
best 3 3
good job 2 2
masterpiece 1 1 2
kissing 1 1
� 1 1
lovely 1 1
awesome 1 1
drunk 1 1
lover 1 1
funny 1 1
afraid 1 1
good 1 1
popper 1 1
nice 1 1
outstanding 1 1
perfection 1 1
heart 1 1
superb 1 1
hero 1 1
� 1 1
hugging 1 1
kills 1 1
Grand Total 1 24 17 42
6 | P a g e
2%
57%
41%
Rap song
negative
neutral
positive
7 | P a g e
Sad song
9
7
5
3
3
3
2
7
3
2
2
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
happy
love
nice
kissing
very nice
best
good
lovely
great
amazing
very much
8 | P a g e
Phrase negative neutral positive Grand Total
happy 9 9
love 7 7
nice 7 7
kissing 5 5
verynice 3 3
best 3 3
good 3 3
lovely 3 3
great 2 2
amazing 2 2
verymuch 2 2
Grand Total 32 14 46
0%
70%
30%
Sad song
negative
neutral
positive
9 | P a g e
Haryanvi song
1
1
1
5
4
3
3
3
2
2
1
1
1
1
1
1
1
1
1
1
3
1
1
1
1
1
1
1
1
1
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
❤
nice
love
best
top
heart
good
hearts
beautiful
poor
luck
happy
supporting
bless
favourite
very nice
friends
wonderful
super
🥰
the best
congratulations
great
kissing
💔
hundred
🥰
improve
jb
10 | P a g e
Phrase negative neutral positive Grand Total
❤ 5 5
nice 4 1 5
love 3 3
best 3 3
top 3 3
heart 3 3
good 2 2
hearts 2 2
beautiful 1 1
poor 1 1
luck 1 1
happy 1 1
supporting 1 1
bless 1 1
favourite 1 1
verynice 1 1
friends 1 1
wonderful 1 1
super 1 1
� 1 1
the best 1 1
congratulations 1 1
great 1 1
kissing 1 1
💔 1 1
hundred 1 1
� 1 1
improve 1 1
jb 1 1
Grand Total 3 31 13 47
6%
66%
28%
Haryanvi song
negative
neutral
positive
11 | P a g e
Interpretation
Haryanvi song Rap song Sad song Bollywoodsong
Positive 28% 41% 30% 28%
Negative 6% 2% 0% 6%
neutral 66% 57% 70% 66%
Conclusion:
 The channel shouldinvest more in rap songsthan the other genressongs.
 The channel shouldlessinvest in Haryanvi songs
 The Haryanvi song and Bollywoodsong almost same in trending.
 Investmentpriority:Rap songs> sad songs> Bollywoodsongs>Haryanvi songs
0%
10%
20%
30%
40%
50%
60%
70%
80%
Haryanvi song Rap song Sad song Bollywood song
Comparison
Positive Negative Neutral

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Social network analytics

  • 1. 1 | P a g e Introduction In thisprojectI have choose the topic “differentgenresof songs”andtriedtofindout withthe help of qualitativedatawhichgenresof songsare intrendingandwhichtypesof songsmore like bythe audiences. Due to thisin the endof thisprojectwe are able to findoutwhichtypesof songstheyshouldinvest more, and whichare not. Thisprojectalsohelpsthe variousYouTube channelswhichshouldthey buythe rightsof the songs,and whichare not. Overview of song industry The IndianMusic Industry(IMI) isa trust that representsthe recordingindustry distributorsin India. It was foundedonFebruary28,1936, as IndianPhonographicIndustry(IPI).Itisthe 2nd oldest music industry organizationinthe worldthatwasinvolved inprotectingcopyrights of musicproducers and supportinggrowthof musicentertainmentindustry. The song industrycontinuouslyincreasinginIndia.The songindustryvalue in2007 is7.4 billonRs and expectedto23 billionRstill 2023. In thisdynamic worldthe songindustryalsoincreasesvery rapidlysothat there isalsoto do some researchonthat so that it worksveryeffective andefficient manner. About project In thisprojectI am onlyconsideredthe Qualitative feedbackandtoreduce the error we are only takenthe songsfrom the T-Serieschannel becauseof have same subscribersonthischannel.If we
  • 2. 2 | P a g e take the songs fromthe differentchannels.The differentchannelhasdifferentsubscribersthathas not giventhe accurate result. I have alsotakenonlysongsthat has releasedwithinone yearbecause of if Itake the songfrom the last2-3 years, I can’t be determinedthe currenttrendandoldvideohaslarge viewsascomparedto currentlyreleasedsothatIhave make the window between 1monthto12 months. Why have I onlychosenT-Serieschannel? I have chosenonlyT-Serieschannelbecause itisnotonlythe largerchannel of Indiabutthe world. Apart fromthat T-Serieshasmore than60% marketcap of thisIndustryandhighestnumberof rights of songsthat’swhyI have chosenthat. Types of songs considered 1. Sad song(rim-Jim) 2. Bollywoodsongs(Bhuj the pride of India) 3. Rap song(Locca) 4. Haryanvi song Extraction of the data I have extractedthe data from tool commentextractor.com. Tool used: Lexalytics
  • 3. 3 | P a g e Analytics Bhuj the pride of India 1 1 1 5 4 3 3 3 2 2 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% ❤ love top good beautiful luck supporting favourite friends super the best great 💔 🥰 jb
  • 4. 4 | P a g e 6% 66% 28% Bollywood song negative neutral positive Phrase negative neutral positive Grand Total ❤ 5 5 nice 4 1 5 love 3 3 best 3 3 top 3 3 heart 3 3 good 2 2 hearts 2 2 beautiful 1 1 poor 1 1 luck 1 1 happy 1 1 supporting 1 1 bless 1 1 favourite 1 1 verynice 1 1 friends 1 1 wonderful 1 1 super 1 1 � 1 1 the best 1 1 congratulations 1 1 great 1 1 kissing 1 1 💔 1 1 hundred 1 1 � 1 1 improve 1 1 jb 1 1 Grand Total 3 31 13 47
  • 5. 5 | P a g e Rap song Phrase negative neutral positive Grand Total happy 6 2 8 love 4 4 ❤ 3 1 4 best 3 3 good job 2 2 masterpiece 1 1 2 kissing 1 1 � 1 1 lovely 1 1 awesome 1 1 drunk 1 1 lover 1 1 funny 1 1 afraid 1 1 good 1 1 popper 1 1 nice 1 1 outstanding 1 1 perfection 1 1 heart 1 1 superb 1 1 hero 1 1 � 1 1 hugging 1 1 kills 1 1 Grand Total 1 24 17 42
  • 6. 6 | P a g e 2% 57% 41% Rap song negative neutral positive
  • 7. 7 | P a g e Sad song 9 7 5 3 3 3 2 7 3 2 2 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% happy love nice kissing very nice best good lovely great amazing very much
  • 8. 8 | P a g e Phrase negative neutral positive Grand Total happy 9 9 love 7 7 nice 7 7 kissing 5 5 verynice 3 3 best 3 3 good 3 3 lovely 3 3 great 2 2 amazing 2 2 verymuch 2 2 Grand Total 32 14 46 0% 70% 30% Sad song negative neutral positive
  • 9. 9 | P a g e Haryanvi song 1 1 1 5 4 3 3 3 2 2 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% ❤ nice love best top heart good hearts beautiful poor luck happy supporting bless favourite very nice friends wonderful super 🥰 the best congratulations great kissing 💔 hundred 🥰 improve jb
  • 10. 10 | P a g e Phrase negative neutral positive Grand Total ❤ 5 5 nice 4 1 5 love 3 3 best 3 3 top 3 3 heart 3 3 good 2 2 hearts 2 2 beautiful 1 1 poor 1 1 luck 1 1 happy 1 1 supporting 1 1 bless 1 1 favourite 1 1 verynice 1 1 friends 1 1 wonderful 1 1 super 1 1 � 1 1 the best 1 1 congratulations 1 1 great 1 1 kissing 1 1 💔 1 1 hundred 1 1 � 1 1 improve 1 1 jb 1 1 Grand Total 3 31 13 47 6% 66% 28% Haryanvi song negative neutral positive
  • 11. 11 | P a g e Interpretation Haryanvi song Rap song Sad song Bollywoodsong Positive 28% 41% 30% 28% Negative 6% 2% 0% 6% neutral 66% 57% 70% 66% Conclusion:  The channel shouldinvest more in rap songsthan the other genressongs.  The channel shouldlessinvest in Haryanvi songs  The Haryanvi song and Bollywoodsong almost same in trending.  Investmentpriority:Rap songs> sad songs> Bollywoodsongs>Haryanvi songs 0% 10% 20% 30% 40% 50% 60% 70% 80% Haryanvi song Rap song Sad song Bollywood song Comparison Positive Negative Neutral