This program is to find similarities between the a sentences and words and how they are similar in synonyms I have downloaded the nltk when i first coded it was run and there were no errors but after some days when i run the program
import nltk
nltk.download('stopwords')
nltk.download('wordnet')
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
from nltk.corpus import wordnet as wn
filtered_uploaded_sentences = []
uploaded_sentence_synset = []
database_word_synset = []
uploaded_doc_sentence=" The issue of text semantics, such as word semantics and sentence semantics has received increasing attentions in recent years. However, rare research focuses on the document-level semantic matching due to its complexity. Long documents usually have sophisticated structure and massive information, which causes hardship to measure their semantic similarity. The semantic similarity between words, sentences, texts, and documents is widely studied in various fields, including natural language processing, document semantic comparison, artificial intelligence, semantic web, and semantic search engines. "
database_word=["car","complete",'focus',"semantics"]
stopwords = stopwords.words('english')
uploaded_sentence_words_tokenized = word_tokenize(uploaded_doc_sentence)
#filtering the sentence and synset
for word in uploaded_sentence_words_tokenized:
if word not in stopwords:
filtered_uploaded_sentences.append(word)
print (filtered_uploaded_sentences)
for sentences_are in filtered_uploaded_sentences:
uploaded_sentence_synset.append(wn.synsets(sentences_are))
print(uploaded_sentence_synset)
#for finding similrity in the words
for databasewords in database_word:
database_word_synset.append(wn.synsets(databasewords)[0])
print(database_word_synset)
Index Error: list index out of range
this error comes when the uploaded_doc_sentence is short and long sentence is used the error accorded
check.append(wn.wup_similarity(data,sen[0]))
I want to compare the sentence and the words and the results are stored. this type
#the similarity main function for words
for data in database_word_synset:
for sen in uploaded_sentence_synset :
check.append(wn.wup_similarity(data,sen[0]))
print(check)
2
Answers
by removing the empty [] list blocks from the list and making the multi dimension list into single dimension list the problem was solver
The problem is that there are empty lists contained in
uploaded_sentence_synset
. I’m not sure what you’re trying to do, but modify the last block of code to:Without the if-else block, you’re essentially trying to index the first element of a list, giving you an
IndexError
.