diff --git a/sentistrength/__init__.py b/sentistrength/__init__.py
index 6afc30f..95b07f8 100644
--- a/sentistrength/__init__.py
+++ b/sentistrength/__init__.py
@@ -5,38 +5,61 @@
 import pandas as pd
 from os import getcwd
 
+
 class PySentiStr:
     def __init__(self):
         pass
-        
+
     def setSentiStrengthPath(self, ss_Path):
         self.SentiStrengthLocation = ss_Path
 
     def setSentiStrengthLanguageFolderPath(self, sslf_Path):
         # Ensure it has a forward slash at the end
-        if sslf_Path[-1] != '/':
-            sslf_Path += '/'
+        if sslf_Path[-1] != "/":
+            sslf_Path += "/"
         self.SentiStrengthLanguageFolder = sslf_Path
 
-    def getSentiment(self, df_text, score='scale'):
-        if not hasattr(self, 'SentiStrengthLocation'):
+    def getSentiment(self, df_text, score="scale", keywords=None):
+        if not hasattr(self, "SentiStrengthLocation"):
             assert False, "Set path using setSentiStrengthPath(path) function."
 
-        if not hasattr(self, 'SentiStrengthLanguageFolder'):
-            assert False, "Set path using setSentiStrengthLanguageFolderPath(path) function."
+        if not hasattr(self, "SentiStrengthLanguageFolder"):
+            assert (
+                False
+            ), "Set path using setSentiStrengthLanguageFolderPath(path) function."
 
         if type(df_text) != pd.Series:
             df_text = pd.Series(df_text)
-        df_text = df_text.str.replace('\n','')
-        df_text = df_text.str.replace('\r','')
-        conc_text = '\n'.join(df_text)
-        p = subprocess.Popen(shlex.split("java -jar '" + self.SentiStrengthLocation + "' stdin sentidata '" + self.SentiStrengthLanguageFolder + "' trinary"),stdin=subprocess.PIPE,stdout=subprocess.PIPE,stderr=subprocess.PIPE)
-        b = bytes(conc_text.replace(" ","+"), 'utf-8')
+        if keywords is not None and type(keywords) != pd.Series:
+            keywords = pd.Series(keywords)
+
+        if keywords is not None and not len(df_text) == len(keywords):
+            assert False, "You have to pass keywords to all or none texts."
+
+        df_text = df_text.str.replace("\n", "")
+        df_text = df_text.str.replace("\r", "")
+        conc_text = "\n".join(df_text)
+        command_text = (
+            "java -jar '"
+            + self.SentiStrengthLocation
+            + "' stdin sentidata '"
+            + self.SentiStrengthLanguageFolder
+            + "' trinary"
+        )
+        if keywords is not None:
+            command_text = command_text + " keywords '" + ",".join(keywords) + "'"
+        p = subprocess.Popen(
+            shlex.split(command_text),
+            stdin=subprocess.PIPE,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+        )
+        b = bytes(conc_text.replace(" ", "+"), "utf-8")
         stdout_byte, stderr_text = p.communicate(b)
         stdout_text = stdout_byte.decode("utf-8")
-        stdout_text = stdout_text.rstrip().replace("\t"," ")
-        stdout_text = stdout_text.replace('\r\n','')
-        senti_score = stdout_text.split(' ')
+        stdout_text = stdout_text.rstrip().replace("\t", " ")
+        stdout_text = stdout_text.replace("\r\n", "")
+        senti_score = stdout_text.split(" ")
 
         try:
             senti_score = list(map(float, senti_score))
@@ -44,15 +67,23 @@ def getSentiment(self, df_text, score='scale'):
             raise Exception(stdout_text)
 
         senti_score = [int(i) for i in senti_score]
-        if score == 'scale': # Returns from -4 to 4
-            senti_score = [sum(senti_score[i:i+2]) for i in range(0, len(senti_score), 3)]
-        elif score == 'binary': # Return 1 if positive and -1 if negative
-            senti_score = [1 if senti_score[i] >= abs(senti_score[i+1]) else -1 for i in range(0, len(senti_score), 3)]
-        elif score == 'trinary': # Return Positive and Negative Score and Neutral Score
-            senti_score = [tuple(senti_score[i:i+3]) for i in range(0, len(senti_score), 3)]
-        elif score == 'dual': # Return Positive and Negative Score
-            senti_score = [tuple(senti_score[i:i+2]) for i in range(0, len(senti_score), 3)]
+        if score == "scale":  # Returns from -4 to 4
+            senti_score = [
+                sum(senti_score[i : i + 2]) for i in range(0, len(senti_score), 3)
+            ]
+        elif score == "binary":  # Return 1 if positive and -1 if negative
+            senti_score = [
+                1 if senti_score[i] >= abs(senti_score[i + 1]) else -1
+                for i in range(0, len(senti_score), 3)
+            ]
+        elif score == "trinary":  # Return Positive and Negative Score and Neutral Score
+            senti_score = [
+                tuple(senti_score[i : i + 3]) for i in range(0, len(senti_score), 3)
+            ]
+        elif score == "dual":  # Return Positive and Negative Score
+            senti_score = [
+                tuple(senti_score[i : i + 2]) for i in range(0, len(senti_score), 3)
+            ]
         else:
             return "Argument 'score' takes in either 'scale' (between -1 to 1) or 'binary' (two scores, positive and negative rating)"
         return senti_score
-