More than 1,000 people have been killed so far this year in three states in northeastern Nigeria worst hit by Boko Haram violence, according to the country’s main relief organisation. “A thousand rebels from the M23 (group) have escaped” from the camp in Bihanga, about 300 kilometres (190 miles) southwest of the Ugandan capital Kampala, a spokesman for the Ugandan army said on the official Twitter account.ġ,000 killed in Boko Haram conflict this year. About 1,000 former fighters from a former Democratic Republic of Congo rebel group broke out Tuesday from a camp where they being held in Uganda just as soldiers were about to repatriate them, the Ugandan army said. The base cost per bed was $250 per day, including other services, Senator Dianne Feinstein said, without providing details.ġ,000 DRC ex-rebels break out of Uganda camp: army. Federal authorities are struggling to find more cost-effective housing, medical care, counseling and legal services for the undocumented minors. More than 57,000 unaccompanied children, mostly from Central America, have been caught entering the country illegally since last October, and President Barack Obama has asked for $3.7 billion in emergency funding to address what he has called an “urgent humanitarian solution.” “One of the figures that sticks in everybody’s mind is we’re paying about $250 to $1,000 per child,” Senator Jeff Flake told reporters, citing figures presented at a closed-door briefing by Homeland Security Secretary Jeh Johnson. Up to $1,000 a day to care for child migrants. PARIS (AP) - Former French Open champion Ana Ivanovic lost in the third round Saturday, beaten 6-3, 6-3 by 23rd-seeded Lucie Safarova of the Czech Republic. ’08 French champ Ivanovic loses to Safarova in 3rd. Pred_data <- ame( text = as.character( sub_corp), country = predict( model)) Model <- textmodel_newsmap( dfmt_feat, dfmt_label)Ĭoef( model, n = 7) Valuetype = 'regex ', case_insensitive = FALSE) # include only proper nouns to model dfmt_feat <- dfm_trim( dfmt_feat, min_termfreq = 10) Levels = 3, nested_scope = "dictionary ")ĭfmt_feat <- dfm_select( dfmt_feat, selection = "keep ", '^+ ', # quanteda v1.5 introduced 'nested_scope' to reduce ambiguity in dictionary lookup toks_label <- tokens_lookup( toks, data_dictionary_newsmap_en, Toks <- tokens_remove( toks, c( month, day, agency), valuetype = 'fixed ', padding = TRUE) Toks <- tokens_remove( toks, stopwords( 'english '), valuetype = 'fixed ', padding = TRUE) # Select training period sub_corp <- corpus_subset( corp, ' ' < = date & date < = ' ') 'July ', 'August ', 'September ', 'October ', 'November ', 'December ')ĭay <- c( 'Sunday ', 'Monday ', 'Tuesday ', 'Wednesday ', 'Thursday ', 'Friday ', 'Saturday ') # Custom stopwords month <- c( 'January ', 'February ', 'March ', 'April ', 'May ', 'June ', ", dat $ body)ĭat $ body <- NULL corp <- corpus( dat, text_field = 'text ') # Load data dat <- readRDS( '~/yahoo-news.RDS ')ĭat $ text <- paste0( dat $ head, ". # Loading required package: quanteda # Package version: 3.2.1 # Unicode version: 13.0 # ICU version: 66.1 # Parallel computing: 6 of 6 threads used.