Integrating Content Analysis and LDA Thematic Modeling to Analyze the Presentation of Youth Culture in Urban Cinema

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The operating time of each model in different topic keywords

Model	Running time(s)
	General key	Synonymous words	Keywords of multiple meanings
LSA	5.0944	5.0498	5.7439
PLSA	4.2886	3.7515	4.6910
STM	4.3783	4.7040	5.1960
CNN	5.0109	5.2280	6.2341
ERNIE	4.337	4.5253	4.8669
LDA	5.5752	6.1680	6.7025
LSTM	5.0323	5.4087	6.6815
BERT-base	3.3305	3.8339	4.6453
LDA-Kmeans	0.2744	0.3241	0.4543

The text data topic of the topic is divided

Theme	Weighting (%)	Core theme	Topic description
Topic 5	34.26	Society, industry, company, time, work, competition, market, enterprise, Internet, young person, graduation, opportunity.	The inner volume is very serious
Topic 6	29.04	Oneself, hard work, life, work, study, anxiety, lying flat, things, overtime, life, examination and investigation	Stress of life
Topic 7	21.17	Serious, after-work, anti-internal volume, evening, likes, colleagues, work, support, milk tea, mobile phone, game, star.	Resistance volume
Topic 8	15.53	Education, school, students, parents, training, teachers, institutions, cold and summer holidays, policies, college entrance exams, universities and complementary courses	Education volume

Test results in three different data sets

Data set	Model	Accuracy rate	Recall rate	F1 value
YCT	CNN	0.9015	0.8996	0.9219
	LSTM	0.8638	0.8605	0.8646
	BERT-base	0.9164	0.9169	0.9131
	LDA-Kmeans	0.9613	0.9844	0.9702
	LDA	0.9248	0.9118	0.9206
	ERNIE	0.9474	0.9465	0.9434
Weibo1	CNN	0.8891	0.8858	0.9078
	LSTM	0.8489	0.8472	0.8526
	BERT-base	0.9031	0.9015	0.8977
	LDA-Kmeans	0.9789	0.9699	0.9545
	LDA	0.9063	0.8981	0.9056
	ERNIE	0.9341	0.9321	0.9295
Online2	CNN	0.873	0.8694	0.9026
	LSTM	0.8381	0.8207	0.8458
	BERT-base	0.8942	0.8882	0.8861
	LDA-Kmeans	0.9679	0.9789	0.9625
	LDA	0.8954	0.8848	0.8948
	ERNIE	0.9228	0.908	0.9166

The accuracy of each model is compared to the accuracy of the key words

Model	Accuracy(%)
	General key	Synonymous words	Keywords of multiple meanings
LSA	44.37	41.64	38.77
PLSA	56.88	53.37	42.34
STM	64.51	58.32	40.23
CNN	47.74	43.04	37.67
ERNIE	52.78	51.38	50.69
LDA	57.16	51.52	39.03
LSTM	65.75	60.85	54.08
BERT-base	55.85	49.45	49.21
LDA-Kmeans	93.88	90.12	88.54

The result of the text data topic is divided

Theme	Weighting (%)	Core theme	Topic description
Topic 1	35.78	Choices, problems, young people, society, children, life, future, ability, flat lying, opportunity, education fund.	Cause of lie down
Topic 2	24.97	Self, effort, work, no desire, things, anxiety, learning, salted fish, rejection, giving up, resting	Inner emotion
Topic 3	21.03	Like, teacher, friend, forever, hope, lovely, good-looking, enter the pit, game, pit, thank you, stage	Resistance volume
Topic 4	18.22	Happy, home, weekend, day, comfort, sleep, mobile phone, refueling, sports, summer holidays, happiness, air conditioning	Enjoy life

Young people lie in the high frequency vocabulary of text data

Serial number	Participle	frequency	Serial number	Participle	frequency
1	Lie down*	76500	16	Question *	7014
2	Self *	71034	17	Child *	6757
3	Life *	50377	18	Go home	6549
4	Effort *	30549	19	Learning *	6321
5	Work *	22147	20	Anxiety *	6218
6	Suffer *	19053	21	Young man	6210
7	Like *	9987	22	Fatigue	6138
8	Eat	9654	23	Friend	6022
9	Select	9014	24	World	5317
10	Time *	8326	25	At home	5015
11	Get up	8059	26	Society *	5004
12	Hope *	8011	27	Teacher *	4932
13	Happiness	7877	28	Go to work	2714
14	Joyfulness	7656	29	China*	1999
15	Thing *	7325	30	Tomorrow	1934

The text data high frequency vocabulary of the topic of youth

Serial number	Participle	frequency	Serial number	Participle	frequency
1	Inner volume	54870	16	Anxiety *	6891
2	Self *	49423	17	Question*	6624
3	Education*	28762	18	Hope *	6434
4	Child *	18941	19	Time *	6194
5	Work *	11547	20	China*	6097
6	Severity	10562	21	Company	6082
7	Effort *	9848	22	Stars	6012
8	Life *	9534	23	School	5884
9	Society *	8889	24	Student	5190
10	Teacher *	8193	25	Age	4879
11	Donation	7925	26	Overtime	4873
12	Lie down*	7884	27	Competition	4809
13	Like *	7754	28	Parent	2584
14	Industry	7526	29	Thing *	1877
15	Learning *	7206	30	Money	1813