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server.R
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155 lines (137 loc) · 4.62 KB
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# Convert
# king - man + woman
# to
# ~"king" - "man" + "woman"
processQuery <- function(query) {
query_str = ''
parts = unlist(strsplit(query, ' '))
operators = c('+', '-', '*', '/')
for (part in parts) {
if (part %in% operators) {
query_str = paste(query_str, part)
} else {
query_str = paste0(query_str, ' "', part, '"')
}
}
paste0("~", query_str)
}
# ----- Server
server <- function(input, output) {
model = wordVectors::read.vectors("word_embeddings.bin")
query_words = row.names(model)
exclude_words_ind = which(query_words %in% '</s>')
query_words = query_words[-exclude_words_ind]
# ------ Single Word Query
word_query_result = callModule(wordInput,
'word_query',
words = query_words,
label = 'Concept',
selected_words = 'city')
# ------ Word Formula
word_formula_result = reactive({
query = processQuery(input$word_formula)
as.formula(query)
})
# ------ Query by Analogy
analogy_a_result = callModule(wordInput,
'analogy_a',
words = query_words,
label = '',
selected_words = 'rec')
analogy_b_result = callModule(wordInput,
'analogy_b',
words = query_words,
label = '',
selected_words = 'fun')
analogy_c_result = callModule(wordInput,
'analogy_c',
words = query_words,
label = '',
selected_words = 'edmonton')
word_analogy_result = reactive({
query_a = analogy_a_result()
query_b = analogy_b_result()
query_c = analogy_c_result()
req(query_a)
req(query_b)
req(query_c)
query_str = paste0('~"', query_b, '" - "', query_a, '" + "', query_c, '"')
formula = as.formula(query_str)
eval(formula)
})
# ------ Query Builder
builder_pos_terms = callModule(wordInput,
'builder_pos_terms',
words = query_words,
label = 'Include Concepts',
selected_words = 'city')
builder_neg_terms = callModule(wordInput,
'builder_neg_terms',
words = query_words,
label = 'Exclude Concepts',
selected_words = 'waste')
word_query_builder_result = reactive({
pos_terms = builder_pos_terms()
neg_terms = builder_neg_terms()
req(!is.null(pos_terms) | !is.null(neg_terms))
pos_present = !is.null(pos_terms)
neg_present = !is.null(neg_terms)
if (pos_present & neg_present) {
model[[pos_terms]] - model[[neg_terms]]
} else if (pos_present) {
model[[pos_terms]]
} else {
-model[[neg_terms]]
}
})
# ------ Query by text
text_query_result = reactive({
text = trimws(input$text_query)
req(text)
text = tolower(gsub("[[:punct:][:blank:]]+", " ", text))
strsplit(text, "\\s+")[[1]]
})
# ------ Query Result
model_query = reactive({
query_type = input$query_type
query = ''
if (query_type == 'word_query') {
query = word_query_result()
req(query)
} else if (query_type == 'word_analogy') {
query = word_analogy_result()
} else if (query_type == 'word_formula') {
query = word_formula_result()
} else if (query_type == 'word_query_builder') {
query = word_query_builder_result()
} else if (query_type == 'query_by_text') {
query = text_query_result()
}
query
})
output$query_result = renderTable({
req(model_query)
result = wordVectors::closest_to(model, model_query())
names(result) = c("Term", "Similarity")
result
})
output$furthest_result = renderTable({
model_query = model_query()
req(model_query)
result = NULL
if (is(model_query, "VectorSpaceModel")) {
result = wordVectors::closest_to(model, -model_query)
} else if (is(model_query, "formula")) {
# Negate the formula:
form = as.formula(paste0("~-(", as.character(model_query)[2], ")"))
result = wordVectors::closest_to(model, form)
} else {
result = wordVectors::closest_to(model, -model[[model_query]])
}
names(result) = c("Term", "Difference")
result
})
observeEvent(input$show_different, {
toggle("different_terms")
})
}