Royal-Emine · Royal-Emine · May 26, 2024 · May 26, 2024
diff --git a/... Analysis on Social Media Datasets/sentiment labelled sentences/amazon_cells_labelled.csv b/... Analysis on Social Media Datasets/sentiment labelled sentences/amazon_cells_labelled.csv
diff --git a/... Analysis on Social Media Datasets/sentiment labelled sentences/amazon_cells_labelled.txt b/... Analysis on Social Media Datasets/sentiment labelled sentences/amazon_cells_labelled.txt
diff --git a/...timental Analysis on Social Media Datasets/sentiment labelled sentences/imdb_labelled.csv b/...timental Analysis on Social Media Datasets/sentiment labelled sentences/imdb_labelled.csv
diff --git a/...timental Analysis on Social Media Datasets/sentiment labelled sentences/imdb_labelled.txt b/...timental Analysis on Social Media Datasets/sentiment labelled sentences/imdb_labelled.txt
diff --git a/...ced/Sentimental Analysis on Social Media Datasets/sentiment labelled sentences/readme.txt b/...ced/Sentimental Analysis on Social Media Datasets/sentiment labelled sentences/readme.txt
@@ -0,0 +1,31 @@
+This dataset was created for the Paper 'From Group to Individual Labels using Deep Features', Kotzias et. al,. KDD 2015
+Please cite the paper if you want to use it :)
+
+It contains sentences labelled with positive or negative sentiment, extracted from reviews of products, movies, and restaurants
+
+=======
+Format:
+=======
+sentence \t score \n
+
+
+=======
+Details:
+=======
+Score is either 1 (for positive) or 0 (for negative)	
+The sentences come from three different websites/fields:
+
+imdb.com
+amazon.com
+yelp.com
+
+For each website, there exist 500 positive and 500 negative sentences. Those were selected randomly for larger datasets of reviews. 
+We attempted to select sentences that have a clearly positive or negative connotaton, the goal was for no neutral sentences to be selected.
+
+
+
+For the full datasets look:
+
+imdb: Maas et. al., 2011 'Learning word vectors for sentiment analysis'
+amazon: McAuley et. al., 2013 'Hidden factors and hidden topics: Understanding rating dimensions with review text'
+yelp: Yelp dataset challenge http://www.yelp.com/dataset_challenge
diff --git a/...timental Analysis on Social Media Datasets/sentiment labelled sentences/yelp_labelled.csv b/...timental Analysis on Social Media Datasets/sentiment labelled sentences/yelp_labelled.csv
diff --git a/...timental Analysis on Social Media Datasets/sentiment labelled sentences/yelp_labelled.txt b/...timental Analysis on Social Media Datasets/sentiment labelled sentences/yelp_labelled.txt
diff --git a/...Advanced/Sentimental Analysis on Social Media Datasets/sentiment-analysis_sentenses.ipynb b/...Advanced/Sentimental Analysis on Social Media Datasets/sentiment-analysis_sentenses.ipynb