The infer function gave 0 probability for all topics for some documents

[wenxipu]

Hello,

I hope you are doing great. I used the infer function to get the topic distributions for my data, but I noticed there are documents that are assigned 0 probabilities for all topics.

Would you please let me know why and how could I fix it? I checked the documents and they are fine. I also tried increasing the number of iterations, but the results are still like this.

Here is a sample of the output of the infer function:

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1.84 3 124.42 19.16 51.98 62.94 5.98 61.58 13.34 4.32 10 2.8 1.62 7.88 31.48 10.24 1.32 4.96 2.46 2.82 16.56 77.02 72.28
1.8 1.14 3.26 4.52 3.88 7.38 1.18 3.06 2.4 2.38 3.28 1.36 0.88 3.34 65.28 2.34 0.78 13.14 3.98 1.64 2.5 138.32 3.16
4.3 9.6 4.14 1.64 3.56 3.96 7.18 2.46 22.76 3.72 0.78 2.14 0.88 2.64 4.92 0.92 1.5 1.96 3.06 10.3 3.88 73.98 0.72
4.28 6.42 2.88 5.18 34.42 58.28 16.88 72.58 8.7 2.6 30.36 7.42 0.94 2.58 5.78 88.86 22.84 4.78 2.38 23.14 8.82 43.1 4.78
0.68 1.78 65.5 2.08 2.48 9.6 6.62 10.4 9.06 1.14 1.78 1.62 0.78 1.64 6.7 3.6 1.48 1.98 1.36 1.06 16.6 35.96 5.1
23.7 18.9 6.46 6.92 106.28 26.5 26.22 6.24 61.48 12.36 8.18 41.34 2.12 49.42 11.4 2.54 21.74 5.28 15.1 11.16 10.84 473.64 16.18
1.66 2.7 0.98 0.82 2.18 2.66 0.9 3.02 4.54 0.86 4.28 5.8 0.58 3.06 1.68 10.2 0.58 3.5 1.5 0.54 5.82 8.86 2.28
4.78 5.82 92.82 4.18 36.2 13.74 4.26 2.72 16.42 15.62 2.12 2.18 2.88 2.26 19.1 8 2.78 3.46 4.3 33.22 4.72 250.78 8.64
1.58 4 86.2 2.26 5.54 5.72 2.72 3.34 4.76 1.28 6.2 9.5 3.16 25.64 2.46 1.8 4.74 2.24 3.3 4.54 4.36 85.08 3.58
3.54 7.44 51.42 19.7 27.76 35.6 7.46 4.16 66.88 11.28 3.28 4.8 3.56 41.4 3.42 2.48 3.28 3.54 4.02 1.92 17.3 118.14 4.62
2.4 4.54 5.52 2.26 3 6.48 3.18 1.88 4.88 3.2 3.38 1.06 1.86 67.56 52.84 0.72 1.1 0.68 1.64 1.62 13.94 44.22 2.04
1.42 5.78 0.86 7.72 2.88 1.92 0.8 8.06 37.16 2 22.12 1.32 1.38 1.72 1.34 9.66 0.96 1.4 1 0.66 3.88 36.52 3.44
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3.52 3.44 20.44 3.24 8.84 76.44 3.3 6.88 14.24 1.12 4.56 8.44 0.76 2.12 6.88 47.56 2.06 4.14 1.4 2.52 8.62 18.9 5.58
3.2 7.3 35.98 1.06 27.3 64.36 2.16 15.04 9.58 0.96 2.64 2.06 1.76 78.96 4.9 2.74 4 2.16 3.18 8.56 4.66 156.68 4.76
3.36 15.14 533.24 5.76 108.2 80.98 13.96 12.66 14.28 17.22 68.86 10.02 13.58 16.66 30.06 8.62 5.38 14.04 11.8 7.22 32.96 38.54 9.46
2.4 44.88 40.48 36.88 89 33.62 9.18 255.44 26.24 2.22 8.26 15.14 13.5 3.96 72.28 11.28 1.48 2.12 4.86 5.18 6.18 22.12 5.3
4.32 24.46 38.06 18.42 39.34 8.7 5.1 8.6 31.26 14.32 18.16 5.74 3.04 6 30.02 10.38 2.48 6.94 5.4 10.56 6.56 200.78 5.36
0.56 3.92 0.88 2.28 1.8 1.12 0.36 0.58 2.86 0.7 4.74 4.16 0.24 0.86 0.28 2.56 0.48 2.84 0.26 0.48 4.5 9.38 0.16
1.12 6.9 0.56 1.42 1.96 0.78 1.08 1.02 7.4 5.98 3 3.24 1.76 0.56 0.88 10.62 1.88 1.96 0.94 0.42 2.62 18.26 0.64
3.5 4.6 71.44 4.64 21.94 22.7 49.68 9.62 24.04 3.04 2.9 3.34 3.48 24.66 19.56 80.4 6.54 2.94 4.64 31 4.08 27.26 15
14.52 3.24 12.1 1.74 32.34 63.7 2.96 49.18 3.14 0.44 8.6 13.72 2.18 2.78 7.56 14.4 4.66 2.38 9.04 1.94 19.4 72.42 89.56
12.14 11.74 3.22 5.62 61.28 21.54 16.92 11.3 4.36 5.12 9.62 42.18 4.8 4.28 3.32 6.74 49.88 7.28 10.2 158.74 24.78 2.86 6.08
0.4 6.76 0.68 0.96 1.06 1.2 0.34 0.64 5.2 1.14 1.94 8.48 0.18 0.4 0.26 2.84 0.26 1.12 0.34 0.7 2.78 6.08 0.24
1.28 6.76 0.96 3.54 2.98 1.5 2.08 0.72 6.24 8.52 5.52 8.1 0.44 0.78 0.82 13.58 2.5 4.44 1.68 1.9 2.78 18.26 0.62
1.78 3.74 1.7 4.74 5.62 10.32 2.2 21.22 95.88 4.34 27.44 2.7 4.3 4.04 5.8 6.98 2.2 5.26 5.6 7.32 5.46 18.08 2.28
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1.06 46.92 16.08 55.7 1.12 19.52 1.5 1.24 4.66 1.28 2.78 2.1 0.96 150.66 3.56 7 2.18 4.22 2.04 5.92 2.92 16.42 1.16
14.46 4.42 3.1 11.56 14.44 15.4 2.16 15.62 59 3.46 47.44 3.72 14.48 5.76 50.8 3.36 2.72 5 4.06 9.52 7.3 127.04 3.18
1.2 12.76 22.36 7.6 6.34 3.66 5.84 27.82 19.02 0.8 5.46 3.92 4 3.14 6.06 3.12 2 3.44 7.84 4.92 2.9 7.94 40.86
2.88 2.8 9.54 3.3 4.3 3.42 4.76 2.38 6.38 2.64 10.3 10.38 2.7 3.58 7 33.7 8.74 2.78 5.56 4.66 11.36 33.16 2.68
1.06 18.9 3.44 4.16 8 6.9 2.68 6.34 38.8 0.52 28.42 1.84 2.1 2.46 14.42 24.34 0.9 1.56 4.94 1.76 5.18 34.32 1.96
1.56 22.44 145.48 18.6 8.8 12.98 2.44 51.3 43.52 3.02 31.84 3.58 1.52 9.46 32.88 43.98 1.02 7.8 3 13.24 110.98 21.74 14.82
2.48 4.54 2.74 1.76 1.18 0.82 4.66 5.48 6.38 1.2 6.08 11.52 0.48 1.8 1.14 9.9 0.48 3.04 1.36 1.94 3.8 5.26 1.96
5.06 6.78 26.02 8.06 35.86 60 6.64 8.02 51.84 3.58 11.68 36.74 4.18 74.14 22.72 2.92 2.64 21.94 3.18 201.9 16.22 27.7 12.18
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2.8 10.2 6.94 9.34 65.18 40.36 3.76 12.54 10.3 12.6 7.02 5.66 22.76 41.02 28.52 8.5 3.78 1.56 3.84 16.92 3.26 200.1 10.04
1.42 2.4 6.6 7 2.74 26.58 44.64 3.98 5.22 7.36 2 5.22 0.6 116.64 4.84 0.68 0.78 0.64 5.6 2.38 7.82 7.48 14.38
4.76 8.8 15.62 4.54 11.06 51.5 3.06 4.46 19.96 2.66 7.92 8.02 1.88 4.78 4.62 29.76 3.72 18.4 5.8 5.66 6.6 34.16 2.26
1.4 1.54 120.48 2.98 12.44 41.52 54.02 1.96 13.84 2.18 2.36 1.22 0.92 4.58 9.6 1.58 1.98 1.68 2.06 2.86 7.44 208.26 6.1
3.68 17.74 46.4 12.26 43.18 26.6 193.62 13.56 42.4 11.44 23.94 8.54 4.04 101.88 284.76 62 19.22 6.64 8.34 35.56 53.94 7.18 41.08
7.2 13.54 82.32 24.94 33.66 187.82 10.5 18.34 16.22 2.64 8.08 21.72 3.26 58.32 77.26 2.12 7.98 5.5 6.66 372.94 24.72 45.96 30.3
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2.56 2.52 0.5 2.58 2.3 0.82 0.96 1.2 20.1 1.34 2.44 7.96 1.38 0.76 0.28 11.5 0.72 4.18 0.4 1.54 2.32 7.7 0.94
8.42 10.08 3.06 2.18 4 3.06 1.62 7.56 9.84 1.84 8.28 4.3 0.96 4.02 1.3 4.78 3.86 4.6 6.5 1.84 3.2 57.92 3.78
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

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Thank you for any help.

Best,
Wenxi