Text Summarizer

BasicPythonScripts/Text Summarizer/readme.md

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+# TEXT SUMMARIZER
+
+Text Summarizer is a basic console based summarizer which takes user input for text and gives the output
+
+
+
+# Screenshots
+
+### CODE SCREENSHOT
+![Code Screenshot](https://media.discordapp.net/attachments/829696850700402740/895145748528762950/unknown.png)
+
+<BR>
+
+
+### OUTPUT SCREENSHOT
+![App Screenshot](https://media.discordapp.net/attachments/829696850700402740/895143956655001620/unknown.png)

BasicPythonScripts/Text Summarizer/requirements.txt

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+nltk

BasicPythonScripts/Text Summarizer/summarizer.py

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+import nltk
+nltk.download('stopwords')
+nltk.download('punkt')
+from nltk.corpus import stopwords
+from nltk.tokenize import word_tokenize, sent_tokenize
+
+print("Enter Text")
+text = input()
+stopWords = set(stopwords.words("english"))
+words = word_tokenize(text)
+
+freqTable = dict()
+for word in words:
+    word = word.lower()
+    if word in stopWords:
+        continue
+    if word in freqTable:
+        freqTable[word] += 1
+    else:
+        freqTable[word] = 1
+sentences = sent_tokenize(text)
+sentenceValue = dict()
+
+for sentence in sentences:
+    for word, freq in freqTable.items():
+        if word in sentence.lower():
+            if sentence in sentenceValue:
+                sentenceValue[sentence] += freq
+            else:
+                sentenceValue[sentence] = freq
+
+
+sumValues = 0
+for sentence in sentenceValue:
+    sumValues += sentenceValue[sentence]
+
+
+average = int(sumValues / len(sentenceValue))
+
+summary = ''
+for sentence in sentences:
+    if (sentence in sentenceValue) and (sentenceValue[sentence] > (1.2 * average)):
+        summary += " " + sentence
+print(summary)
+
+
+
+