I need news analysis in Python language
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PPH TOP 10 | Analytics Consultant | Data Scientist | Machine Learning Engineer
New Delhi
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Rupnagar
98628421476402476423278063138313363857768
Description
Experience Level: Intermediate
Estimated project duration: less than 1 week
Hi Lovish, I have project in Python and the requirement below :
1)Topic Analysis: Please use the whole dataset including 1,246 articles to train a LDA topic model. Set the number of topics as 10. Present the top 5 words of each topic in your final report. On the other hand, you need also calculate the Cv topic coherence based on the top 5 words of each topic, and then obtain the average Cv topic coherence of 10 topics.
Note:
You can use the Python package gensim to train the LDA model.
And calculate the C_v topic coherence using palmetto.
2)Sentiment Analysis: Please use the training set including 1,000 articles to train a machine learning or neural network model. And the then use the trained model to predict the emotion distribution of each article in testing set (including 246 articles). There are two evaluation metrics: Acc@1 and AP.
1)Topic Analysis: Please use the whole dataset including 1,246 articles to train a LDA topic model. Set the number of topics as 10. Present the top 5 words of each topic in your final report. On the other hand, you need also calculate the Cv topic coherence based on the top 5 words of each topic, and then obtain the average Cv topic coherence of 10 topics.
Note:
You can use the Python package gensim to train the LDA model.
And calculate the C_v topic coherence using palmetto.
2)Sentiment Analysis: Please use the training set including 1,000 articles to train a machine learning or neural network model. And the then use the trained model to predict the emotion distribution of each article in testing set (including 246 articles). There are two evaluation metrics: Acc@1 and AP.
Shwan A.
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