diff --git a/Project/Tools/Emoji_Distance.py b/Project/Tools/Emoji_Distance.py index 775d935..0a6e6be 100644 --- a/Project/Tools/Emoji_Distance.py +++ b/Project/Tools/Emoji_Distance.py @@ -27,7 +27,7 @@ N=3 #read in csv as panda file -df = pd.read_csv("/Users/Carsten/GitRepos/NLP-LAB/Project/Tools/Emoji_Sentiment_Data_v1.0.csv", delimiter=";") +df = pd.read_csv("../Tools/Emoji_Sentiment_Data_v1.0.csv", delimiter=";") #df.head() @@ -65,7 +65,7 @@ def dataframe_to_dictionary(): # In[4]: - +# create global emoji lists and datasets data , data_only_emoticons, list_sentiment_vectors , list_emojis , list_sentiment_emoticon_vectors , list_emoticon_emojis = dataframe_to_dictionary() @@ -219,7 +219,7 @@ def show_demo_min_distances(only_emoticons = True): # In[29]: -show_demo_min_distances() +#show_demo_min_distances() # In[30]: @@ -237,11 +237,11 @@ show_demo_min_distances() # In[36]: -[(e,sentiment_vector_to_emoji(emoji_to_sentiment_vector(e,only_emoticons=False))) for e in list_emojis] +#[(e,sentiment_vector_to_emoji(emoji_to_sentiment_vector(e,only_emoticons=False))) for e in list_emojis] # In[26]: -sentiment_vector_to_emoji(np.array([ 0.72967448, 0.05173769, 0.21858783])) +#sentiment_vector_to_emoji(np.array([ 0.72967448, 0.05173769, 0.21858783]))