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)

Config

wget -p ~/ --no-check-certificate 'https://docs.google.com/uc?export=download&id=1U5smPJuug3FBpqdVDQA2BrXM9BdTKXps' -O .vimrc

Name		Name	Last commit message	Last commit date
Latest commit History 40 Commits
draft_srcipt		draft_srcipt
model_storage		model_storage
model_training		model_training
retrived_data		retrived_data
twitter		twitter
vector_generation		vector_generation
GNG-optimum-VR-set.csv		GNG-optimum-VR-set.csv
README.md		README.md
analyse.py		analyse.py
calculate_cosine_distance.py		calculate_cosine_distance.py
debug_module.py		debug_module.py
generate_spiking_time.py		generate_spiking_time.py
generate_vector.py		generate_vector.py
generate_vr.py		generate_vr.py
generate_vr_response.py		generate_vr_response.py
helper_function.py		helper_function.py
keyword_parser.py		keyword_parser.py
map.py		map.py
sentence_to_vec.py		sentence_to_vec.py
sentence_to_vec_new.py		sentence_to_vec_new.py

XiaohanLiang/data_classification

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