intro.ipynb
36.2 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# dmsc_v2 说明\n",
"0. **下载地址:** [百度网盘](https://pan.baidu.com/s/1c0yn3TlkzHYTdEBz3T5arA)\n",
"1. **数据概览:** 28 部电影,超 70 万 用户,超 200 万条 评分/评论 数据\n",
"2. **推荐实验:** 推荐系统、情感/观点/评论 倾向性分析\n",
"2. **数据来源:**[豆瓣电影](https://movie.douban.com/)\n",
"3. **原数据集:** [Douban Movie Short Comments Dataset V2](https://www.kaggle.com/utmhikari/doubanmovieshortcomments)\n",
"4. **加工处理:**\n",
" 1. 去重并整理成与 [MovieLens](https://grouplens.org/datasets/movielens/) 兼容的格式\n",
" 2. 进行脱敏操作,以保护用户隐私"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"path = 'dmsc_文件夹_所在_路径'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 1. movies.csv"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 加载数据"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"电影数目:28\n"
]
}
],
"source": [
"movies = pd.read_csv(path + 'movies.csv')\n",
"\n",
"print('电影数目:%d' % movies.shape[0])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 字段说明\n",
"\n",
"| 字段 | 说明 |\n",
"| ---- | ---- |\n",
"| movieId | 电影 id (从 0 开始,连续编号) |\n",
"| title | 英文名称 |\n",
"| title_cn | 中文名称 |"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>movieId</th>\n",
" <th>title</th>\n",
" <th>title_cn</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>Avengers Age of Ultron</td>\n",
" <td>复仇者联盟2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>Big Fish and Begonia</td>\n",
" <td>大鱼海棠</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2</td>\n",
" <td>Captain America Civil War</td>\n",
" <td>美国队长3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>3</td>\n",
" <td>Chinese Zodiac</td>\n",
" <td>十二生肖</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>4</td>\n",
" <td>Chronicles of the Ghostly Tribe</td>\n",
" <td>九层妖塔</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>5</td>\n",
" <td>CUG King of Heroes</td>\n",
" <td>大圣归来</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>6</td>\n",
" <td>Forever Young</td>\n",
" <td>栀子花开</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>7</td>\n",
" <td>Goodbye Mr. Loser</td>\n",
" <td>夏洛特烦恼</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>8</td>\n",
" <td>Iron Man</td>\n",
" <td>钢铁侠1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>9</td>\n",
" <td>Journey to the West Conquering the Demons</td>\n",
" <td>西游降魔篇</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>10</td>\n",
" <td>Journey to the West The Demons Strike Back</td>\n",
" <td>西游伏妖篇</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>11</td>\n",
" <td>La La Land</td>\n",
" <td>爱乐之城</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>12</td>\n",
" <td>Lost In Thailand</td>\n",
" <td>泰囧</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>13</td>\n",
" <td>My Sunshine</td>\n",
" <td>何以笙箫默</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>14</td>\n",
" <td>Operation Mekong</td>\n",
" <td>湄公河行动</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>15</td>\n",
" <td>Soulmate</td>\n",
" <td>七月与安生</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>16</td>\n",
" <td>The Avengers</td>\n",
" <td>复仇者联盟</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>17</td>\n",
" <td>The Continent</td>\n",
" <td>后会无期</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>18</td>\n",
" <td>The Ghouls</td>\n",
" <td>寻龙诀</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>19</td>\n",
" <td>The Great Wall</td>\n",
" <td>长城</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>20</td>\n",
" <td>The Left Ear</td>\n",
" <td>左耳</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>21</td>\n",
" <td>The Mermaid</td>\n",
" <td>美人鱼</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>22</td>\n",
" <td>Tiny Times 1.0</td>\n",
" <td>小时代1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>23</td>\n",
" <td>Tiny Times 3.0</td>\n",
" <td>小时代3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>24</td>\n",
" <td>Train to Busan</td>\n",
" <td>釜山行</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>25</td>\n",
" <td>Transformers Age of Extinction</td>\n",
" <td>变形金刚4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>26</td>\n",
" <td>Your Name</td>\n",
" <td>你的名字</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>27</td>\n",
" <td>Zootopia</td>\n",
" <td>疯狂动物城</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" movieId title title_cn\n",
"0 0 Avengers Age of Ultron 复仇者联盟2\n",
"1 1 Big Fish and Begonia 大鱼海棠\n",
"2 2 Captain America Civil War 美国队长3\n",
"3 3 Chinese Zodiac 十二生肖\n",
"4 4 Chronicles of the Ghostly Tribe 九层妖塔\n",
"5 5 CUG King of Heroes 大圣归来\n",
"6 6 Forever Young 栀子花开\n",
"7 7 Goodbye Mr. Loser 夏洛特烦恼\n",
"8 8 Iron Man 钢铁侠1\n",
"9 9 Journey to the West Conquering the Demons 西游降魔篇\n",
"10 10 Journey to the West The Demons Strike Back 西游伏妖篇\n",
"11 11 La La Land 爱乐之城\n",
"12 12 Lost In Thailand 泰囧\n",
"13 13 My Sunshine 何以笙箫默\n",
"14 14 Operation Mekong 湄公河行动\n",
"15 15 Soulmate 七月与安生\n",
"16 16 The Avengers 复仇者联盟\n",
"17 17 The Continent 后会无期\n",
"18 18 The Ghouls 寻龙诀\n",
"19 19 The Great Wall 长城\n",
"20 20 The Left Ear 左耳\n",
"21 21 The Mermaid 美人鱼\n",
"22 22 Tiny Times 1.0 小时代1\n",
"23 23 Tiny Times 3.0 小时代3\n",
"24 24 Train to Busan 釜山行\n",
"25 25 Transformers Age of Extinction 变形金刚4\n",
"26 26 Your Name 你的名字\n",
"27 27 Zootopia 疯狂动物城"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"movies"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 2. ratings.csv"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 加载数据"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"用户数据:738701\n",
"评分数目:2125056\n"
]
}
],
"source": [
"ratings = pd.read_csv(path + 'ratings.csv')\n",
"\n",
"print('用户数据:%d' % ratings.userId.unique().shape[0])\n",
"print('评分数目:%d' % ratings.shape[0])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 字段说明"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"| 字段 | 说明 |\n",
"| ---- | ---- |\n",
"| userId | 用户 id (从 0 开始,连续编号) |\n",
"| movieId | 即 movies.csv 中的 movieId|\n",
"|rating | 评分,[1,5] 之间的整数 | \n",
"|timestamp | 评分时间戳 |\n",
"|comment | 评论内容 |\n",
"| like | 该评论被多少人点赞 |"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>userId</th>\n",
" <th>movieId</th>\n",
" <th>rating</th>\n",
" <th>timestamp</th>\n",
" <th>comment</th>\n",
" <th>like</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1763779</th>\n",
" <td>130888</td>\n",
" <td>24</td>\n",
" <td>5</td>\n",
" <td>1474560000</td>\n",
" <td>原著的剧本不是这样的,而是最后只有那个自私鬼活了下来。孕妇中枪,小孩中枪的时候哭出了声音,...</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1608147</th>\n",
" <td>23695</td>\n",
" <td>22</td>\n",
" <td>2</td>\n",
" <td>1377360000</td>\n",
" <td>郭敬明真的要为中国产生如此大规模的青少年脑残群体负一定责任 = =</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1735498</th>\n",
" <td>323858</td>\n",
" <td>24</td>\n",
" <td>3</td>\n",
" <td>1473696000</td>\n",
" <td>三分不能再多。其中一分给壮汉大叔,帅过男主。</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1631095</th>\n",
" <td>218188</td>\n",
" <td>22</td>\n",
" <td>3</td>\n",
" <td>1372953600</td>\n",
" <td>柯震东露点 给三星 后面的彩蛋很欢乐</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1193163</th>\n",
" <td>155900</td>\n",
" <td>17</td>\n",
" <td>4</td>\n",
" <td>1406390400</td>\n",
" <td>给四星不是因为电影有那么好,文艺腔调有,公路片元素够,但好看程度其实低于预期,但是因为是韩...</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1874658</th>\n",
" <td>8534</td>\n",
" <td>26</td>\n",
" <td>4</td>\n",
" <td>1480780800</td>\n",
" <td>身体互换和改变未来都是老梗了,算是半新不旧的瓶装了个旧酒吧,不过倒是不错,意外的好看,伏笔...</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>645671</th>\n",
" <td>312247</td>\n",
" <td>9</td>\n",
" <td>4</td>\n",
" <td>1476979200</td>\n",
" <td>念念不忘,必有回响…</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1681543</th>\n",
" <td>284941</td>\n",
" <td>23</td>\n",
" <td>4</td>\n",
" <td>1409673600</td>\n",
" <td>看到她们在雪地的那段,居然很感动</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1042238</th>\n",
" <td>100689</td>\n",
" <td>15</td>\n",
" <td>5</td>\n",
" <td>1474214400</td>\n",
" <td>以前看安妮宝贝时期....最喜欢的小说之一</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1672379</th>\n",
" <td>139726</td>\n",
" <td>23</td>\n",
" <td>2</td>\n",
" <td>1406736000</td>\n",
" <td>郭小四不是标榜自己时尚品味吗?四个女主一个镜头换一身皮草哪来的品味啊??(客观的说,叙事增...</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1823549</th>\n",
" <td>447412</td>\n",
" <td>25</td>\n",
" <td>2</td>\n",
" <td>1405958400</td>\n",
" <td>擎天柱胸前蓝色的部分装着生命所需的能量和他的记忆。这让我更加坚信一些东西,只是然后的然后我...</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1112590</th>\n",
" <td>495975</td>\n",
" <td>16</td>\n",
" <td>4</td>\n",
" <td>1336838400</td>\n",
" <td>浩克抖包袱……</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>210239</th>\n",
" <td>123095</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" <td>1390320000</td>\n",
" <td>轻松愉快,打斗设置还不错</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2093623</th>\n",
" <td>232598</td>\n",
" <td>27</td>\n",
" <td>5</td>\n",
" <td>1474560000</td>\n",
" <td>比之前大热的冰雪奇缘好太多,一部全家人都可以坐在一起看的电影。</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>583777</th>\n",
" <td>322422</td>\n",
" <td>8</td>\n",
" <td>5</td>\n",
" <td>1301500800</td>\n",
" <td>的确比蜘蛛侠超人什么什么的好看</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1914937</th>\n",
" <td>75819</td>\n",
" <td>26</td>\n",
" <td>4</td>\n",
" <td>1473955200</td>\n",
" <td>真的棒。但是我自己还是不那么喜欢。</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1211561</th>\n",
" <td>514748</td>\n",
" <td>17</td>\n",
" <td>4</td>\n",
" <td>1407427200</td>\n",
" <td>。</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1965672</th>\n",
" <td>704638</td>\n",
" <td>26</td>\n",
" <td>5</td>\n",
" <td>1480953600</td>\n",
" <td>陪朋友去看的,本身我是拒绝这类小清新的电影的,而且在刚开始的时候说实话没怎么看懂,不过看到...</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1935211</th>\n",
" <td>259717</td>\n",
" <td>26</td>\n",
" <td>4</td>\n",
" <td>1480694400</td>\n",
" <td>时间与空间错乱里的爱情 温暖又幽默</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>839108</th>\n",
" <td>426801</td>\n",
" <td>11</td>\n",
" <td>5</td>\n",
" <td>1486742400</td>\n",
" <td>Here is to the ones who dream.</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" userId movieId rating timestamp \\\n",
"1763779 130888 24 5 1474560000 \n",
"1608147 23695 22 2 1377360000 \n",
"1735498 323858 24 3 1473696000 \n",
"1631095 218188 22 3 1372953600 \n",
"1193163 155900 17 4 1406390400 \n",
"1874658 8534 26 4 1480780800 \n",
"645671 312247 9 4 1476979200 \n",
"1681543 284941 23 4 1409673600 \n",
"1042238 100689 15 5 1474214400 \n",
"1672379 139726 23 2 1406736000 \n",
"1823549 447412 25 2 1405958400 \n",
"1112590 495975 16 4 1336838400 \n",
"210239 123095 3 4 1390320000 \n",
"2093623 232598 27 5 1474560000 \n",
"583777 322422 8 5 1301500800 \n",
"1914937 75819 26 4 1473955200 \n",
"1211561 514748 17 4 1407427200 \n",
"1965672 704638 26 5 1480953600 \n",
"1935211 259717 26 4 1480694400 \n",
"839108 426801 11 5 1486742400 \n",
"\n",
" comment like \n",
"1763779 原著的剧本不是这样的,而是最后只有那个自私鬼活了下来。孕妇中枪,小孩中枪的时候哭出了声音,... 1 \n",
"1608147 郭敬明真的要为中国产生如此大规模的青少年脑残群体负一定责任 = = 0 \n",
"1735498 三分不能再多。其中一分给壮汉大叔,帅过男主。 0 \n",
"1631095 柯震东露点 给三星 后面的彩蛋很欢乐 0 \n",
"1193163 给四星不是因为电影有那么好,文艺腔调有,公路片元素够,但好看程度其实低于预期,但是因为是韩... 0 \n",
"1874658 身体互换和改变未来都是老梗了,算是半新不旧的瓶装了个旧酒吧,不过倒是不错,意外的好看,伏笔... 1 \n",
"645671 念念不忘,必有回响… 0 \n",
"1681543 看到她们在雪地的那段,居然很感动 0 \n",
"1042238 以前看安妮宝贝时期....最喜欢的小说之一 0 \n",
"1672379 郭小四不是标榜自己时尚品味吗?四个女主一个镜头换一身皮草哪来的品味啊??(客观的说,叙事增... 0 \n",
"1823549 擎天柱胸前蓝色的部分装着生命所需的能量和他的记忆。这让我更加坚信一些东西,只是然后的然后我... 0 \n",
"1112590 浩克抖包袱…… 0 \n",
"210239 轻松愉快,打斗设置还不错 0 \n",
"2093623 比之前大热的冰雪奇缘好太多,一部全家人都可以坐在一起看的电影。 0 \n",
"583777 的确比蜘蛛侠超人什么什么的好看 0 \n",
"1914937 真的棒。但是我自己还是不那么喜欢。 0 \n",
"1211561 。 0 \n",
"1965672 陪朋友去看的,本身我是拒绝这类小清新的电影的,而且在刚开始的时候说实话没怎么看懂,不过看到... 0 \n",
"1935211 时间与空间错乱里的爱情 温暖又幽默 0 \n",
"839108 Here is to the ones who dream. 0 "
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ratings.sample(20)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 3. 用于 情感/观点/评论 倾向性分析"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 筛选出带有较明显倾向性的评论(1星和5星的评分)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"正向(5星)数目:638106\n",
"负向(1星)数目:190927\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>userId</th>\n",
" <th>movieId</th>\n",
" <th>rating</th>\n",
" <th>timestamp</th>\n",
" <th>comment</th>\n",
" <th>like</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>405540</th>\n",
" <td>251302</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>1436976000</td>\n",
" <td>路人转自来水!大圣帅气!我要生猴子~~~^-^</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>159308</th>\n",
" <td>18639</td>\n",
" <td>2</td>\n",
" <td>5</td>\n",
" <td>1462636800</td>\n",
" <td>冬兵从醒了以后就应该要求被冻起来,美队这个人烂的真要命。心疼tony。</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1329674</th>\n",
" <td>127217</td>\n",
" <td>18</td>\n",
" <td>5</td>\n",
" <td>1451059200</td>\n",
" <td>超级棒!远远超出预期 免费水军来了哈哈哈哈</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1945766</th>\n",
" <td>75720</td>\n",
" <td>26</td>\n",
" <td>5</td>\n",
" <td>1476460800</td>\n",
" <td>为爱而动</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1706244</th>\n",
" <td>29721</td>\n",
" <td>23</td>\n",
" <td>1</td>\n",
" <td>1406131200</td>\n",
" <td>看小时代3的时候真是太壮观了整个场子那个乱啊打电话的聊天的中途上厕所的没办法大家提不起兴趣...</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1271715</th>\n",
" <td>546029</td>\n",
" <td>17</td>\n",
" <td>1</td>\n",
" <td>1406217600</td>\n",
" <td>可以给零分么</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>394698</th>\n",
" <td>243184</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>1437926400</td>\n",
" <td>一直听网友说好,今天去电影院看了下。真的不错,是中国动漫的一个值得一看的作品。太多的喜羊羊...</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>324077</th>\n",
" <td>208900</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>1437062400</td>\n",
" <td>先吐槽一下自己的泪点,太低了。小和尚太像弟弟小时候的样子了。整部电影是良心之作,国产地影这...</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1004222</th>\n",
" <td>186241</td>\n",
" <td>14</td>\n",
" <td>5</td>\n",
" <td>1475942400</td>\n",
" <td>主旋律片的杰出代表,节奏顺畅快速。看得人热血沸腾!</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>198523</th>\n",
" <td>5774</td>\n",
" <td>2</td>\n",
" <td>5</td>\n",
" <td>1462723200</td>\n",
" <td>迄今看过最精彩的漫威电影 其实整个剧情核心是复仇 但是这个复仇点真心满怪的 队长还是一如既...</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2014461</th>\n",
" <td>25511</td>\n",
" <td>27</td>\n",
" <td>5</td>\n",
" <td>1457280000</td>\n",
" <td>try everything!动物界的乌托邦 nick真的好苏好腹黑啊啊(原谅我带入了小说</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2101031</th>\n",
" <td>727978</td>\n",
" <td>27</td>\n",
" <td>5</td>\n",
" <td>1462550400</td>\n",
" <td>讲真很棒!</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1614137</th>\n",
" <td>64084</td>\n",
" <td>22</td>\n",
" <td>1</td>\n",
" <td>1374768000</td>\n",
" <td>最后雪中的姐妹情。</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1980114</th>\n",
" <td>248321</td>\n",
" <td>26</td>\n",
" <td>5</td>\n",
" <td>1480867200</td>\n",
" <td>时空的跨越,绝对不能忘记的,你的名字。</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1829632</th>\n",
" <td>18891</td>\n",
" <td>25</td>\n",
" <td>5</td>\n",
" <td>1403884800</td>\n",
" <td>请记住一个特效片是不需要完美剧情的。在电影院看的就是特效,没有其他。给特效满分。顶端水平。...</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>276335</th>\n",
" <td>186281</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" <td>1443715200</td>\n",
" <td>不知道在演什么鬼</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2090682</th>\n",
" <td>214830</td>\n",
" <td>27</td>\n",
" <td>5</td>\n",
" <td>1457193600</td>\n",
" <td>这狐狸怎么那么苏!!!反差萌的梗简直炉火纯青</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2108227</th>\n",
" <td>731117</td>\n",
" <td>27</td>\n",
" <td>5</td>\n",
" <td>1458403200</td>\n",
" <td>树懒梗可爱到爆。乌托邦社会的构建反讽了乌托邦社会设想,号称没有偏见的世界里,本身就是由偏见...</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>864728</th>\n",
" <td>10418</td>\n",
" <td>12</td>\n",
" <td>5</td>\n",
" <td>1355673600</td>\n",
" <td>啥也不说了,从头笑到尾,差点没乐死我,最后又赚了些感动</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>422130</th>\n",
" <td>263856</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>1436544000</td>\n",
" <td>很感动很用心</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" userId movieId rating timestamp \\\n",
"405540 251302 5 5 1436976000 \n",
"159308 18639 2 5 1462636800 \n",
"1329674 127217 18 5 1451059200 \n",
"1945766 75720 26 5 1476460800 \n",
"1706244 29721 23 1 1406131200 \n",
"1271715 546029 17 1 1406217600 \n",
"394698 243184 5 5 1437926400 \n",
"324077 208900 5 5 1437062400 \n",
"1004222 186241 14 5 1475942400 \n",
"198523 5774 2 5 1462723200 \n",
"2014461 25511 27 5 1457280000 \n",
"2101031 727978 27 5 1462550400 \n",
"1614137 64084 22 1 1374768000 \n",
"1980114 248321 26 5 1480867200 \n",
"1829632 18891 25 5 1403884800 \n",
"276335 186281 4 1 1443715200 \n",
"2090682 214830 27 5 1457193600 \n",
"2108227 731117 27 5 1458403200 \n",
"864728 10418 12 5 1355673600 \n",
"422130 263856 5 5 1436544000 \n",
"\n",
" comment like \n",
"405540 路人转自来水!大圣帅气!我要生猴子~~~^-^ 0 \n",
"159308 冬兵从醒了以后就应该要求被冻起来,美队这个人烂的真要命。心疼tony。 0 \n",
"1329674 超级棒!远远超出预期 免费水军来了哈哈哈哈 0 \n",
"1945766 为爱而动 0 \n",
"1706244 看小时代3的时候真是太壮观了整个场子那个乱啊打电话的聊天的中途上厕所的没办法大家提不起兴趣... 0 \n",
"1271715 可以给零分么 0 \n",
"394698 一直听网友说好,今天去电影院看了下。真的不错,是中国动漫的一个值得一看的作品。太多的喜羊羊... 0 \n",
"324077 先吐槽一下自己的泪点,太低了。小和尚太像弟弟小时候的样子了。整部电影是良心之作,国产地影这... 0 \n",
"1004222 主旋律片的杰出代表,节奏顺畅快速。看得人热血沸腾! 0 \n",
"198523 迄今看过最精彩的漫威电影 其实整个剧情核心是复仇 但是这个复仇点真心满怪的 队长还是一如既... 0 \n",
"2014461 try everything!动物界的乌托邦 nick真的好苏好腹黑啊啊(原谅我带入了小说 0 \n",
"2101031 讲真很棒! 0 \n",
"1614137 最后雪中的姐妹情。 0 \n",
"1980114 时空的跨越,绝对不能忘记的,你的名字。 0 \n",
"1829632 请记住一个特效片是不需要完美剧情的。在电影院看的就是特效,没有其他。给特效满分。顶端水平。... 0 \n",
"276335 不知道在演什么鬼 1 \n",
"2090682 这狐狸怎么那么苏!!!反差萌的梗简直炉火纯青 4 \n",
"2108227 树懒梗可爱到爆。乌托邦社会的构建反讽了乌托邦社会设想,号称没有偏见的世界里,本身就是由偏见... 0 \n",
"864728 啥也不说了,从头笑到尾,差点没乐死我,最后又赚了些感动 0 \n",
"422130 很感动很用心 0 "
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ratings_with_opinions = ratings[(ratings.rating==1) | (ratings.rating==5)]\n",
"\n",
"\n",
"print('正向(5星)数目:%d' % (ratings_with_opinions[ratings_with_opinions.rating==5].shape[0]))\n",
"print('负向(1星)数目:%d' % (ratings_with_opinions[ratings_with_opinions.rating==1].shape[0]))\n",
"\n",
"ratings_with_opinions.sample(20)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "keras"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}