Persian News Dataset
Ideal for NLP tasks, sentiment analysis, topic modeling, and more.
@kaggle.amirzenoozi_persian_news_dataset
Ideal for NLP tasks, sentiment analysis, topic modeling, and more.
@kaggle.amirzenoozi_persian_news_dataset
CREATE TABLE archive_v2 (
"id" BIGINT,
"title" VARCHAR,
"short_link" VARCHAR,
"service" VARCHAR,
"subgroup" VARCHAR,
"abstract" VARCHAR,
"body" VARCHAR,
"tags" VARCHAR,
"published_datetime" VARCHAR,
"agency_name" VARCHAR
);
CREATE TABLE archive_v3 (
"id" VARCHAR,
"title" VARCHAR,
"short_link" VARCHAR,
"service" VARCHAR,
"subgroup" VARCHAR,
"abstract" VARCHAR,
"body" VARCHAR,
"tags" VARCHAR,
"published_datetime" VARCHAR,
"agency_name" VARCHAR
);
CREATE TABLE archive_v4 (
"id" VARCHAR,
"title" VARCHAR,
"short_link" VARCHAR,
"service" VARCHAR,
"subgroup" VARCHAR,
"abstract" VARCHAR,
"body" VARCHAR,
"tags" VARCHAR,
"published_datetime" VARCHAR,
"agency_name" VARCHAR
);
CREATE TABLE archive_v5 (
"id" VARCHAR,
"title" VARCHAR,
"short_link" VARCHAR,
"service" VARCHAR,
"subgroup" VARCHAR,
"abstract" VARCHAR,
"body" VARCHAR,
"tags" VARCHAR,
"published_datetime" VARCHAR,
"agency_name" VARCHAR
);
CREATE TABLE n__output (
"id" BIGINT,
"title" VARCHAR,
"short_link" VARCHAR,
"service" VARCHAR,
"subgroup" VARCHAR,
"abstract" VARCHAR,
"body" VARCHAR,
"tags" VARCHAR,
"published_datetime" TIMESTAMP,
"agency_name" VARCHAR
);
Anyone who has the link will be able to view this.