Search "+Sentiment analysis -Twittermood +Christopher M. Danforth +Unemployment +Convolutional neural network +Archetype -StanfordNLP"

Positive matches

• 0.202 + - Social media
• 0.051 + - Residual leanrning
• 0.037 + - Deep learning
• 0.036 + - Residual Learning
• 0.026 + - Human mobility
• 0.023 + - CNN
• 0.020 + - Paper/Gatys2015
• 0.017 + - Cecilia Mascolo
• 0.015 + - Syuzhet
• 0.015 + - Peter Sheridan Dodds
• 0.015 + - Bing Liu
• 0.013 + - word2vec
• 0.013 + - Facebook
• 0.012 + - Rumor
• 0.012 + - Homophily and influence
• 0.012 + - Retweet
• 0.011 + - Prediction using social media
• 0.010 + - Shapes of Stories
• 0.009 + - Neural doodle
• 0.008 + - NLP

Negative matches

• 0.103 + - Natural language processing
• 0.005 + - RNN
• 0.004 + - fastText
• 0.004 + - Dialog act
• 0.004 + - Computer science
• 0.002 + - NLTK
• 0.002 + - Topic modeling
• 0.002 + - String metric
• 0.001 + - Latent Dirichlet allocation
• 0.001 + - spaCy
• 0.001 + - KoNLPy
• 0.001 + - Christopher D. Manning
• 0.001 + - BookNLP
• 0.001 + - Lexical feature selection
• 0.000 + - Kyunghyun Cho
• 0.000 + - KenLM
• 0.000 + - Sentence embedding