Timeline for Which insights a data scientist could derive from text-analysis?
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jun 5, 2020 at 9:36 | comment | added | Guillermo Mosse | Oh well, I just read your other question on SO. So the text is in Italian...here's a tool you can use: nicgian.github.io/Sentita | |
| Jun 5, 2020 at 9:32 | comment | added | Guillermo Mosse | About the second question: there are many off-the-shelf tools. Google is your friend! There are lots, lots of tutorials in Medium. If you don't find any that works for you, reach out and I will include a link. | |
| Jun 5, 2020 at 9:29 | comment | added | Guillermo Mosse | About the first part: are you thinking of manually labelling your texts/phrases/whatever? How large is your dataset? | |
| Jun 4, 2020 at 12:14 | comment | added | LdM | thank you so much @Guillermo Mosse. I would have a few question related to your answer: about the labels, yes I have not any labels yet. Do you suggest to take time for doing manually or using clusters and n-grams to select labels? Second question regards the sentiment analysis: should I do manually or there is a useful tool that I can use for that? Thank you so much | |
| Jun 4, 2020 at 12:12 | vote | accept | LdM | ||
| May 30, 2020 at 18:20 | history | answered | Guillermo Mosse | CC BY-SA 4.0 |