def get_keyphrases_textrank():
text = request.form['textrank_text']
top_n = request.form['top_n_textrank']
top_keywords = TextRank.extractKeyphrases(text, int(top_n))
context = dict()
context['keywords'] = top_keywords
return render_template("keyword_textrank.html", **context)
def get_keyphrases_textrank():
filename = request.form['textrank_name']
top_n = request.form['top_n_textrank']
surveys = pd.read_excel(filename, header=0)
col_name = request.form['textrank_question']
text = ""
col = surveys[col_name]
for i in range(len(col)):
text = text + " " + col[i]
top_keywords = TextRank.extractKeyphrases(text, int(top_n))
context = dict()
context['keywords'] = top_keywords
return render_template("keyword_textrank.html", **context)
def textRank(inpath,outpath):
string = codecs.open(inpath, 'r', 'utf-8',errors='ignore').read()
textrank_results = TextRank.extractKeyphrases(string)
sorted_keywords = sorted(textrank_results.items(), key=lambda x: x[1], reverse=True)
print(sorted_keywords)
outString=''
for i in range(len(sorted_keywords)):
print(sorted_keywords[i])
print(sorted_keywords[i][0])
print(sorted_keywords[i][1])
outString+=sorted_keywords[i][0]
outString+=':'
outString+=str(sorted_keywords[i][1])
outString+='\n'
# out_path='output/5AbstractsGroup-test1/Business/0401.txt'
with open(outpath,'w',encoding='utf-8') as f:
f.write(outString)
