Question
Asked 23rd Jul, 2017

How can i get dataset from facebook for sentiment analysis?

Is there any API available for collecting the Facebook data-sets to implement Sentiment analysis.

Most recent answer

12th Dec, 2019
Shivam Garg
Oracle Corporation
I suggest you to please go through the below link once. It might help you in some way-
1 Recommendation

Popular Answers (1)

24th Jul, 2017
Sujal Dhungana
Tribhuvan University
You can use aforementioned datasets or if you want to scrap the data yourself there is Facebook graph API.
PYLON provides access to previously unavailable Facebook topic data and has some price.
If you don't exclusively want Facebook datasets you can easily get data from other sources like (twitter, google, Wikipedia) using pattern.
7 Recommendations

All Answers (6)

24th Jul, 2017
Sujal Dhungana
Tribhuvan University
You can use aforementioned datasets or if you want to scrap the data yourself there is Facebook graph API.
PYLON provides access to previously unavailable Facebook topic data and has some price.
If you don't exclusively want Facebook datasets you can easily get data from other sources like (twitter, google, Wikipedia) using pattern.
7 Recommendations
25th Jul, 2017
Tamir Libel
Otto-Friedrich-Universität Bamberg
I could not contribute anything beyond the previous excellent suggestions concerning relevant data-sets. However, this article might provide useful heads-up about what to consider and plan ahead for concerning transparency and reproducibility:Crosas, M., et al., 2015. Automating open science for big data. The Annals of the American Academy of Political and Social Science, 659 (1), 260-273
25th Jul, 2017
Prajwal Eachempati
Indian Institute of Management, Rohtak
You can also check out Nvivo tool which extracts the facebook data using plugin called ncapture and also auto coding feature can be performed to get sentiment analysis and polarity detection.
1 Recommendation
11th Dec, 2019
Rishitha Kalicheti
Indian Institute of Technology Tirupati
Here is the dataset with movie reviews.
This is a large dataset, with classified data as positive and negative, which makes your task to train easier
Can you help by adding an answer?

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