Print CMDist estimates
Usage
# S3 method for class 'CMDist'
print(x, ...)Arguments
- x
CMDist object returned by
CMDist()- ...
Arguments to be passed to methods
Examples
data(ft_wv_sample)
data(jfk_speech)
jfk_speech$sentence <- tolower(jfk_speech$sentence)
jfk_speech$sentence <- gsub("[[:punct:]]+", " ", jfk_speech$sentence)
dtm <- dtm_builder(jfk_speech, sentence, sentence_id)
out <- CMDist(dtm, cw = "space", wv = ft_wv_sample)
print(out)
#> CMDist estimates for 1 concept(s) across 84 document(s).
#> Concepts: space
#>
#> doc_id space
#> 1 sent_1 -3.624211591
#> 2 sent_2 -3.040169799
#> 3 sent_3 -2.906287060
#> 4 sent_4 -0.699770665
#> 5 sent_5 -1.326188508
#> 6 sent_6 0.076039959
#> 7 sent_7 0.813157825
#> 8 sent_8 0.266626514
#> 9 sent_9 -0.276009645
#> 10 sent_10 -0.370425854
#> 11 sent_11 -0.765787425
#> 12 sent_12 -0.557682040
#> 13 sent_13 -1.501200274
#> 14 sent_14 -0.005453797
#> 15 sent_15 0.911403811
#> 16 sent_16 0.135623263
#> 17 sent_17 -0.179544572
#> 18 sent_18 -0.008023001
#> 19 sent_19 0.940843947
#> 20 sent_20 0.232104661
#> 21 sent_21 -0.246727811
#> 22 sent_22 1.159641089
#> 23 sent_23 -0.654307001
#> 24 sent_24 -0.055418276
#> 25 sent_25 1.193392000
#> 26 sent_26 0.308018162
#> 27 sent_27 -0.571085813
#> 28 sent_28 0.857724143
#> 29 sent_29 1.217243397
#> 30 sent_30 -0.223736665
#> 31 sent_31 0.563086838
#> 32 sent_32 0.139793973
#> 33 sent_33 2.441623865
#> 34 sent_34 0.004245228
#> 35 sent_35 0.632376761
#> 36 sent_36 1.752730854
#> 37 sent_37 -0.134947757
#> 38 sent_38 0.413782949
#> 39 sent_39 0.519535509
#> 40 sent_40 -0.223011391
#> 41 sent_41 -0.524474921
#> 42 sent_42 -1.429798541
#> 43 sent_43 -1.033191991
#> 44 sent_44 0.031543212
#> 45 sent_45 0.100952991
#> 46 sent_46 0.128418748
#> 47 sent_47 0.335526833
#> 48 sent_48 -0.246454612
#> 49 sent_49 -0.042729773
#> 50 sent_50 -0.357512481
#> 51 sent_51 -0.130104074
#> 52 sent_52 1.526496442
#> 53 sent_53 0.125374929
#> 54 sent_54 0.175368005
#> 55 sent_55 -0.076411202
#> 56 sent_56 -0.466060410
#> 57 sent_57 0.381329776
#> 58 sent_58 0.806824475
#> 59 sent_59 0.275215143
#> 60 sent_60 0.791705169
#> 61 sent_61 -0.693726146
#> 62 sent_62 1.226744527
#> 63 sent_63 1.249081996
#> 64 sent_64 1.829377487
#> 65 sent_65 1.301447439
#> 66 sent_66 0.888715118
#> 67 sent_67 0.046357846
#> 68 sent_68 1.234056378
#> 69 sent_69 -0.576111749
#> 70 sent_70 0.041207305
#> 71 sent_71 0.087208929
#> 72 sent_72 -0.305882022
#> 73 sent_73 -0.312085439
#> 74 sent_74 0.040506416
#> 75 sent_75 -0.489543817
#> 76 sent_76 0.394806325
#> 77 sent_77 -0.727417214
#> 78 sent_78 -0.081983543
#> 79 sent_79 -0.260551307
#> 80 sent_80 -1.343362381
#> 81 sent_81 -0.874251740
#> 82 sent_82 1.631419240
#> 83 sent_83 -0.444935311
#> 84 sent_84 -1.442101859
