training neural network
I was given the task as follows,
Scrape articles appearing in Times of India since 2010 on HIV and AIDS. Classify them using training a neural network of your choice. Find patterns in those articles, analyze the data.
I have done the scraping part, But I have no clue what to do now with the data I have extracted. I searched for hours on internet but could not find any help.
I know theory part about the neural network but lack knowledge for implementing it on a text. It would be of great help if someone can suggest me any method or provide me some helpful link.
machine-learning neural-network deep-learning classification lstm
edited 2 days ago
Media
6,60551855
asked 2 days ago
Sandip Kumar
112
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Sandip Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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I was given the task as follows,
Scrape articles appearing in Times of India since 2010 on HIV and AIDS. Classify them using training a neural network of your choice. Find patterns in those articles, analyze the data.
I have done the scraping part, But I have no clue what to do now with the data I have extracted. I searched for hours on internet but could not find any help.
I know theory part about the neural network but lack knowledge for implementing it on a text. It would be of great help if someone can suggest me any method or provide me some helpful link.
machine-learning neural-network deep-learning classification lstm
edited 2 days ago
Media
6,60551855
asked 2 days ago
Sandip Kumar
112
New contributor
Sandip Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
I was given the task as follows,
Scrape articles appearing in Times of India since 2010 on HIV and AIDS. Classify them using training a neural network of your choice. Find patterns in those articles, analyze the data.
I have done the scraping part, But I have no clue what to do now with the data I have extracted. I searched for hours on internet but could not find any help.
I know theory part about the neural network but lack knowledge for implementing it on a text. It would be of great help if someone can suggest me any method or provide me some helpful link.
machine-learning neural-network deep-learning classification lstm
edited 2 days ago
Media
6,60551855
asked 2 days ago
Sandip Kumar
112
New contributor
Sandip Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
I was given the task as follows,
Scrape articles appearing in Times of India since 2010 on HIV and AIDS. Classify them using training a neural network of your choice. Find patterns in those articles, analyze the data.
I have done the scraping part, But I have no clue what to do now with the data I have extracted. I searched for hours on internet but could not find any help.
I know theory part about the neural network but lack knowledge for implementing it on a text. It would be of great help if someone can suggest me any method or provide me some helpful link.
machine-learning neural-network deep-learning classification lstm
machine-learning neural-network deep-learning classification lstm
edited 2 days ago
Media
6,60551855
asked 2 days ago
Sandip Kumar
112
New contributor
Sandip Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited 2 days ago
Media
6,60551855
asked 2 days ago
Sandip Kumar
112
New contributor
Sandip Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited 2 days ago
Media
6,60551855
edited 2 days ago
Media
6,60551855
edited 2 days ago
Media
6,60551855
6,60551855
asked 2 days ago
Sandip Kumar
112
New contributor
Sandip Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 days ago
Sandip Kumar
112
asked 2 days ago
Sandip Kumar
112
112
New contributor
Sandip Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Sandip Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Sandip Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
1 Answer
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There are many solutions for this task. I suggest one of them. As you know, words have relation and if you choose to give each word a special code, you can't have this relation. Consequently, first try to use an embedding network in order to assign each word a code. Then assign each article a label. Next, for each article, you have a sequence of words, codes, which are now embedded. You can employ LSTM networks for classification.
If you are not very familiar with the concepts I referred to, you may want to look for Word2Vec.
answered 2 days ago
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1 Answer
1
active
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votes
1 Answer
1
active
oldest
votes
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oldest
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active
oldest
votes
There are many solutions for this task. I suggest one of them. As you know, words have relation and if you choose to give each word a special code, you can't have this relation. Consequently, first try to use an embedding network in order to assign each word a code. Then assign each article a label. Next, for each article, you have a sequence of words, codes, which are now embedded. You can employ LSTM networks for classification.
If you are not very familiar with the concepts I referred to, you may want to look for Word2Vec.
answered 2 days ago
Media
6,60551855
add a comment |
There are many solutions for this task. I suggest one of them. As you know, words have relation and if you choose to give each word a special code, you can't have this relation. Consequently, first try to use an embedding network in order to assign each word a code. Then assign each article a label. Next, for each article, you have a sequence of words, codes, which are now embedded. You can employ LSTM networks for classification.
If you are not very familiar with the concepts I referred to, you may want to look for Word2Vec.
answered 2 days ago
Media
6,60551855
add a comment |
There are many solutions for this task. I suggest one of them. As you know, words have relation and if you choose to give each word a special code, you can't have this relation. Consequently, first try to use an embedding network in order to assign each word a code. Then assign each article a label. Next, for each article, you have a sequence of words, codes, which are now embedded. You can employ LSTM networks for classification.
If you are not very familiar with the concepts I referred to, you may want to look for Word2Vec.
answered 2 days ago
Media
6,60551855
There are many solutions for this task. I suggest one of them. As you know, words have relation and if you choose to give each word a special code, you can't have this relation. Consequently, first try to use an embedding network in order to assign each word a code. Then assign each article a label. Next, for each article, you have a sequence of words, codes, which are now embedded. You can employ LSTM networks for classification.
If you are not very familiar with the concepts I referred to, you may want to look for Word2Vec.
answered 2 days ago
Media
6,60551855
edited 2 days ago
answered 2 days ago
Media
6,60551855
answered 2 days ago
Media
6,60551855
answered 2 days ago
Media
6,60551855
6,60551855
add a comment |
add a comment |
Sandip Kumar is a new contributor. Be nice, and check out our Code of Conduct.
Sandip Kumar is a new contributor. Be nice, and check out our Code of Conduct.
Sandip Kumar is a new contributor. Be nice, and check out our Code of Conduct.
Sandip Kumar is a new contributor. Be nice, and check out our Code of Conduct.
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