GitHub - jeffrey82221/Music_Sentences: Analysis the effectness of similarity of Music Sentences in Lyrics

GOAL In this project, I wish to analysis lyrics according to their semantics by Deepwalk. In order to accomplish such task, I need to construct a graph that encode the information of semantics. Since from previous experiment, simply word analysis by Deepwalk cannot lead to high level lyrics embedding of song. The embedding only reveal certain genre of lyrics, such as Christmas songs, rap songs or other lyrics dependent genre.
In order to construct a semantic related graph, I need to consider the order of words and other temporal information. Rather then constructing a complex graph(https://www.evernote.com/l/AFmcje_PU_1KlZ39Cu6dnMoAx-Qp3BkQMaQ), I will connect sentence simply by its semantic similarity using ThoughtVector, or SentenceVector (DocumentVector) and apply the graph to Deepwalk. The assumption is that if Deepwalk is able to encode the context information of a object, the concept of this semantic graph is that Deepwalk can somehow encode the sentence semantic as context information.
The future work is that we can consider more kind of content information such as video, audio. And link them together with different feature similarity. Somehow we can observe the distribution of different songs as a new genre classification method.

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
__pycache__		__pycache__
decoding		decoding
skip_thought_model_parameter		skip_thought_model_parameter
training		training
.gitignore		.gitignore
README.md		README.md
analysis_package.py		analysis_package.py
clean_lyrics.c		clean_lyrics.c
clean_lyrics.pyx		clean_lyrics.pyx
detecting_language.py		detecting_language.py
dict.txt.big.txt		dict.txt.big.txt
idf.txt.big.txt		idf.txt.big.txt
load_data.py		load_data.py
lyrics_clean.py		lyrics_clean.py
skipthoughts.py		skipthoughts.py
stop_words.txt		stop_words.txt
util_package.py		util_package.py

jeffrey82221/Music_Sentences