Comments (3)
If you want it to get to work right away all you really need is two files of good and bad tweets respectively. These are essentially just a massive list of tweets (a single tweet per line).
When you run train.py these will get fed in by line 56 & 57, and then everything will work nicely.
Line 56 in 59eac86
Line 57 in 59eac86
Feel free to refer to the research paper too: https://www.academia.edu/35947062/Twitter_Sentiment_Analysis_using_combined_LSTM-CNN_Models
from cs291k.
Thank you for the information. The paper is also good.
My another doubt is, does it take a long time to load the whole glove file every time we run?
from cs291k.
Yea, I don't remember the specific timing, but it probably did take a minute or two.
from cs291k.
Related Issues (8)
- Error: terminate called recursively; Aborted(core dumped) HOT 1
- Error when use LSTM-CNN model. HOT 1
- glove.6B.50d.txt file missing HOT 3
- where could i get the tweets.csv HOT 1
- no data HOT 2
- about dataset HOT 4
- dataset HOT 2
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from cs291k.