Can Word Embeddings Help Find Latent Emotions in Text? Preliminary Results.
Armin SeyeditabariWlodek ZadroznyPublished in: FLAIRS Conference (2017)
Keyphrases
- sentence level
- concept space
- chinese text
- text input
- natural language text
- string matching
- text segments
- linguistic information
- text corpus
- co occurrence
- lexical features
- related words
- keywords
- word counts
- syntactic categories
- english words
- text mining
- word pairs
- text retrieval
- latent topics
- word level
- vector space
- printed text
- text documents
- information retrieval
- noun phrases
- english text
- word recognition
- lexical information
- stop words
- printed documents
- sentence similarity
- historical manuscripts
- named entity recognizer
- latent space
- n gram
- handwritten words
- syntactic analysis
- syntactic information
- document images
- compressed text
- high dimensional data
- low dimensional
- page layout
- training corpus
- machine translation system
- multiword
- punctuation marks