xiaohan2012 / twitter-sent-dnn Goto Github PK

Hi,
Running this on some testing data that I've hand-classified, I'm getting results as large as 9.0, although most inputs seems to behave well. I'll try to find out why, perhaps a strange Unicode issue.

In the file web_app.py:86, you expose publicly your tokens from Twitter. You should remove them and ask for new ones.

Hi guys. Thank you for this great tool. I wonder if you could put up an open source license so I can use it in my project? Thanks!

i am geting this error everytime i run sentiment.py
WORD2INDEX = pickle.load(open("data/twitter.pkl"))[3]

TypeError: a bytes-like object is required, not 'str'

please someone solve this error

Running a list of tweets in self.data through sentiment_score one at a time gives different results than batching that same data in 25 or 100 at a time through sentiment_scores_of_sents.

It's not just floating point issues either. I ran a list of 9068 tweets, and I found that the largest difference was 0.9579128974724299, and that 161 tweets in total had a different score in batch than in the single run that were greater than .5!

Code for running them one at a time:

    out = []
    for tweet in self.data:
      out.append(sentiment_score(tweet))

Code for running the data in batches:

    out = []
    for batch in self.batch_data:
      out.extend(sentiment_scores_of_sents(batch))

Code for batching the data:

    temp_list = []
    for x in cls.data:
      if count >= 25:
        cls.batch_data.append(temp_list)
        temp_list = []
        count = 0
        
      temp_list.append(x)
      count += 1
      
    if len(temp_list) > 0:
      cls.batch_data.append(temp_list)

there are a million errors in this code

This project is pretty good. However, I haven't found its detail description about it, such as what the training and test dataset is, and how about its performance. Could anyone provide more details?

Hi All,

The sentiment for the sentence : 'I like apple' or 'I like....' always seems to be negative. Why does this happen? Is there anyway to improve it?

Thanks!