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cleanNLP package in R
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cnlp_get_dependency(obj, get_token = FALSE) and cnlp_get_dependency(obj, get_token = TRUE) gives the right result with word and word target with R 3.3. and Stanford CoreNLP. I do not remember the exact version 3.3.X.
I recently upgraded to 3.5.3 and had to install the external packages. Now the same code gives completely garbage answer for get_token = TRUE.
e.g.
with get_token = TRUE earlier used to get dataframe with 3K rows. With latest R upgrade, I get 3 million rows. The results look ok with get_token = FALSE for both the versions.
Has anybody come across with this situation?
r
asked 6 mins ago
Vivek SinhaVivek Sinha
1
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cnlp_get_dependency(obj, get_token = FALSE) and cnlp_get_dependency(obj, get_token = TRUE) gives the right result with word and word target with R 3.3. and Stanford CoreNLP. I do not remember the exact version 3.3.X.
I recently upgraded to 3.5.3 and had to install the external packages. Now the same code gives completely garbage answer for get_token = TRUE.
e.g.
with get_token = TRUE earlier used to get dataframe with 3K rows. With latest R upgrade, I get 3 million rows. The results look ok with get_token = FALSE for both the versions.
Has anybody come across with this situation?
r
asked 6 mins ago
Vivek SinhaVivek Sinha
1
New contributor
Vivek Sinha 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 |
cnlp_get_dependency(obj, get_token = FALSE) and cnlp_get_dependency(obj, get_token = TRUE) gives the right result with word and word target with R 3.3. and Stanford CoreNLP. I do not remember the exact version 3.3.X.
I recently upgraded to 3.5.3 and had to install the external packages. Now the same code gives completely garbage answer for get_token = TRUE.
e.g.
with get_token = TRUE earlier used to get dataframe with 3K rows. With latest R upgrade, I get 3 million rows. The results look ok with get_token = FALSE for both the versions.
Has anybody come across with this situation?
r
asked 6 mins ago
Vivek SinhaVivek Sinha
1
New contributor
Vivek Sinha is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
cnlp_get_dependency(obj, get_token = FALSE) and cnlp_get_dependency(obj, get_token = TRUE) gives the right result with word and word target with R 3.3. and Stanford CoreNLP. I do not remember the exact version 3.3.X.
I recently upgraded to 3.5.3 and had to install the external packages. Now the same code gives completely garbage answer for get_token = TRUE.
e.g.
with get_token = TRUE earlier used to get dataframe with 3K rows. With latest R upgrade, I get 3 million rows. The results look ok with get_token = FALSE for both the versions.
Has anybody come across with this situation?
r
r
asked 6 mins ago
Vivek SinhaVivek Sinha
1
New contributor
Vivek Sinha is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 6 mins ago
Vivek SinhaVivek Sinha
1
New contributor
Vivek Sinha is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 6 mins ago
Vivek SinhaVivek Sinha
1
New contributor
Vivek Sinha is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 6 mins ago
Vivek SinhaVivek Sinha
1
asked 6 mins ago
Vivek SinhaVivek Sinha
1
1
New contributor
Vivek Sinha is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Vivek Sinha is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Vivek Sinha 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 |
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