---
title: "Formatage des données"
author: "François Pelletier"
date: "07/10/2019"
output: html_document
---

```{r}
library("tidyverse")
library("RSQLite")
library("DBI")
library("sentometrics")
```


```{r}
con = dbConnect(drv = RSQLite::SQLite(), dbname="google_news.sqlite")
```

# Aperçu

```{r}
tbl(con,"core") %>% head(10) %>% collect() %>% glimpse()
```

# Top 10 de modalités
```{r}
top_10_sites <- tbl(con,"core") %>% 
  select(site) %>% 
  group_by(site) %>% 
  count() %>% 
  arrange(desc(n)) %>% 
  head(10) %>% 
  collect()
top_10_sites
```

```{r}
top_10_country <- tbl(con,"core") %>% 
  select(country) %>% 
  mutate(country = ifelse(country=="","XX",country)) %>%
  group_by(country) %>% 
  count() %>% 
  arrange(desc(n)) %>% 
  head(10) %>% 
  collect()
top_10_country
```

# Entities features

## Compteurs

```{r}
entities_count <- tbl(con,"entities") %>% group_by(uuid,entity_type) %>% count %>% collect()
```

```{r}
entities_count_t <- entities_count %>% reshape2::dcast(uuid~entity_type,fun.aggregate = sum, value.var = "n")
entities_count_t %>% head(10) %>% glimpse()
```

## Aperçu

```{r}
tbl(con,"entities") %>% group_by(entity_type, entity) %>% count() %>% arrange(desc(n)) %>% head(100) %>% collect()
```

# Core features

```{r}
core_features_corpus <- tbl(con,"core") %>% collect() %>%
  transmute(
    id=uuid,
    date=lubridate::as_datetime(published),
    texts=paste(title_full,text,sep = "\n") %>% substr(start = 1,stop = 1000),
    # Site
    site_01 = ifelse(site==top_10_sites$site[1],1,0),
    site_02 = ifelse(site==top_10_sites$site[2],1,0),
    site_03 = ifelse(site==top_10_sites$site[3],1,0),
    site_04 = ifelse(site==top_10_sites$site[4],1,0),
    site_05 = ifelse(site==top_10_sites$site[5],1,0),
    site_06 = ifelse(site==top_10_sites$site[6],1,0),
    site_07 = ifelse(site==top_10_sites$site[7],1,0),
    site_08 = ifelse(site==top_10_sites$site[8],1,0),
    site_09 = ifelse(site==top_10_sites$site[9],1,0),
    site_10 = ifelse(site==top_10_sites$site[10],1,0),
    # Site type
    is_blog = ifelse(site_type=="blogs",1,0),
    # Country
    country_01 = ifelse(country==top_10_country$country[1],1,0),
    country_02 = ifelse(country==top_10_country$country[2],1,0),
    country_03 = ifelse(country==top_10_country$country[3],1,0),
    country_04 = ifelse(country==top_10_country$country[4],1,0),
    country_05 = ifelse(country==top_10_country$country[5],1,0),
    country_06 = ifelse(country==top_10_country$country[6],1,0),
    country_07 = ifelse(country==top_10_country$country[7],1,0),
    country_08 = ifelse(country==top_10_country$country[8],1,0),
    country_09 = ifelse(country==top_10_country$country[9],1,0),
    country_10 = ifelse(country==top_10_country$country[10],1,0)
  ) %>% left_join(entities_count_t,by=c("id"="uuid")) %>% sento_corpus()
```

```{r}
saveRDS(core_features_corpus,file = "core_features_corpus.RDS")
```