data_classification

This project is mainly focus on implementing fly's olfactory on SpiNNaker board Currenty I am using existing feature vector to implement the classification task Following function may be added: 1. Transfer twitter text into feature vector(Using word2vec by Google) 2. Obtain raw twitter text and cleaning 3. Live injection and Live retrieval 4. Emotion classification(Optional)

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
GNG-optimum-VR-set.csv		GNG-optimum-VR-set.csv
README.md		README.md
analyse.py		analyse.py
analyse.pyc		analyse.pyc
ans.txt		ans.txt
debug_module.py		debug_module.py
debug_module.pyc		debug_module.pyc
generate_spiking_time.py		generate_spiking_time.py
generate_spiking_time.pyc		generate_spiking_time.pyc
generate_vr.py		generate_vr.py
generate_vr_response.py		generate_vr_response.py
generate_vr_response.pyc		generate_vr_response.pyc
map.py		map.py
response_space		response_space
response_space.txt		response_space.txt
spikeData_original.txt		spikeData_original.txt
spiking_time		spiking_time
spiking_time.txt		spiking_time.txt
test.py		test.py
test.pyc		test.pyc
test.txt		test.txt
test2.py		test2.py
test2.pyc		test2.pyc

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