Dimas263 / NLP_NER_BILSTM_Named_Entity_Recognition

NLP Named Entity Recognition dalam bidang Biomedis, mendeteksi teks dan membuat klasifikasi apakah teks tersebut mempunyai entitas plant atau disease, memberi label pada teks, menguji hubungan entitas plant dan disease, menilai kecocokan antara kedua entitas, membandingkan hasil uji dengan menggunakan models BILSTM

NLP

Named Entity Recognition (NER) - BILSTM

Slamet Riyanto S.Kom., M.M.S.I.

Dimas Dwi Putra

Architecture

Dataset
View Dataset .csv

Sentence #	Word	POS	Tag
Sentence: 0	studies	NNS	O
Sentence: 0	on	IN	O
Sentence: 0	magnesium	NN	O
Sentence: 0	s	NN	O
Sentence: 0	mechanism	NN	O
Sentence: 0	of	IN	O
Sentence: 0	action	NN	O
Sentence: 0	in	IN	O
Sentence: 0	digitalis	NN	B-plant
Sentence: 0	induced	VBD	O
Sentence: 0	arrhythmias	NNS	B-disease
...

Eval
View Eval Report .xlsx

Entities	precision	recall	f1-score	support	excecution time	processor	ram	model	batch size	epochs
PAD	0,976923	0,976923	0,976923	130	0.06.21	CPU	High	1	16	20
Disease	0,460432	0,450704	0,455516	142
Plant	0,854962	0,829630	0,842105	135
micro avg	0,757500	0,744472	0,750929	407
macro avg	0,764106	0,752419	0,758181	407
weighted avg	0,756268	0,744472	0,750289	407
F-1 Scores			75,10%

Predict

Sample number 2 of 131 (Test Set)
Word           ||True ||Pred
==============================
background     : O     O
and            : O     O
aims           : O     O
large          : O     O
scale          : O     O
epidemiological: O     O
studies        : O     O
have           : O     O
shown          : O     O
that           : O     O
drinking       : O     O
more           : O     O
than           : O     O
two            : O     O
cups           : O     O
of             : O     O
coffee         : plant plant
per            : O     O
day            : O     O
reduces        : O     O
the            : O     O
risks          : O     O
hepatitis      : disease disease
liver          : O     disease

Output
View Model Output

Save output model as .hdf5

Other Content

Websites Prediction

1. Django Websites Prediction For NER dan RE

Named Entity Recognition (NER)

1. NER Dataset Biomedical Plant-Disease Corpus

2. NER CRF Named Entity Recognition

3. NER BiLSTM Named Entity Recognition

4. NER BERT Named Entity Recognition

5. NER BiLSTM CRF Named Entity Recognition

6. NER BERT BiLSTM CRF Named Entity Recognition

Relation Extraction (RE)

1. RE Dataset Biomedical Plant-Disease Corpus

2. RE BERT Relation Extraction Biomedical

3. RE BiLSTM CRF Relation Extraction Biomedical