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wea_ondara
2020-01-07 15:50:48 +01:00
parent bd6d1dbe6b
commit 223798ea18
1 changed files with 2 additions and 2 deletions
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analyze_batch.py
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@@ -100,7 +100,7 @@ def main(folder, intervl):
toxlevels.append(toxlevel) toxlevels.append(toxlevel)
printnoln("\rcomputing toxic levels: post " + str(len(filteredposts)) + "/" + str(len(filteredposts)) + " ... plotting ...") printnoln("\rcomputing toxic levels: post " + str(len(filteredposts)) + "/" + str(len(filteredposts)) + " ... plotting ...")
avgsent[option_posts].append(np.mean([s['compound'] for s in toxlevels])) avgsent[option_posts].append(np.mean([s['compound'] for s in toxlevels]) if len(toxlevels) == 0 else 0)
avgsentsingle[option_posts].append([s['compound'] for s in toxlevels]) avgsentsingle[option_posts].append([s['compound'] for s in toxlevels])
outfilename = goutfilenamenewusers + "_" + str(option_posts) outfilename = goutfilenamenewusers + "_" + str(option_posts)
@@ -186,7 +186,7 @@ def main(folder, intervl):
print("Sentiment not found for " + a['Id']) print("Sentiment not found for " + a['Id'])
toxlevels.append(toxlevel) toxlevels.append(toxlevel)
printnoln("\rcomputing toxic levels: post " + str(len(filteredposts)) + "/" + str(len(filteredposts)) + " ... plotting ...") printnoln("\rcomputing toxic levels: post " + str(len(filteredposts)) + "/" + str(len(filteredposts)) + " ... plotting ...")
avgsent[0].append(np.mean([s['compound'] for s in toxlevels])) avgsent[0].append(np.mean([s['compound'] for s in toxlevels]) if len(toxlevels) == 0 else 0)
avgsentsingle[0].append([s['compound'] for s in toxlevels]) avgsentsingle[0].append([s['compound'] for s in toxlevels])
dumptoxlevels(toxlevels, goutfilenameoldusers + ".py") dumptoxlevels(toxlevels, goutfilenameoldusers + ".py")